close this section of the libraryftp://ftp.cs.waikato.ac.nz (117)
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127 Chapter 7 Testing the PICSIL Synthesis System To test the PICSIL synthesis system, three designs have been synthesised. They were selected to test the algorithms used to map PICSIL components to hardware, and the synthesis manager's ability to fully automate the synthesis process. The exercises were
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47 Chapter 4 Design Exercises During the development of PICSIL, a set of ten design exercises were used as a benchmark against which the language's evolving constructs could be evaluated for generality, conciseness and an improvement of PICSIL's system-level vocabulary. These representative designs
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/packages/gnu/smalltalk-tutorial.ps.gz, 19930709
ATutorial for GNU Smalltalk Andrew Valencia Valencia Consulting Overview What this manual presents This document provides a tutorial introduction to the Smalltalk language in general, and the GNU Smalltalk implementation in particular.Itdoes not provide exhaustive coverage of every feature of the
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/mac/usermanual.ps.Z, 19931102
Computer Ear Training System User Manual E B C#m7 G#m A E B C#m7 A Sandy Davidson University of Waikato 1993 ii Contents Preface .....................................................................................................................iii Getting Started
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/picsil/papers/apchdlsa93.ps, 19931219
Synthesis of Digital ICs from Data Flow Diagrams Murray Pearson (m.pearson@waikato.ac.nz) Department of Computer Science University of Waikato Hamilton NEW ZEALAND Paul Lyons and Mark Apperley Department of Computer Science Massey University Palmerston North NEW ZEALAND
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FlexFAX Modem Bakeoff Samuel J. Leffler Silicon Graphics Computer Systems 2011 N. Shoreline Blvd. P.O. Box 7311 Mountain View, CA 94039-7311
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FFNCFFNC Full Formal Name of Corporation 9999 Street Name City, State 00000 +1 700 555 1212 Fax: +1 700 555 2121 Applications Consulting Fax Cover Sheet To: Fax Number: Company: From: Re: Today's Date: # of following pages: Comments:
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Fax Cover Sheet To: Company: Phone: Fax: From: Company: Phone: Fax: Date: Number of pages following this sheet: Regarding: Comments:
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/packages/gnu/graphics.ps.gz, 19941108
GNU graphics Utilities for plotting scientific data Copyright c 1989 Free Software Foundation Chapter 1: The GNU Graphics Utilities 1 1 The GNU Graphics Utilities The GNU graphics utilities are a set of programs for plotting scientific data. The program graph reads data files and writes a stream of
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/packages/perl/perl5.000-doc.ps.gz, 19941109
PERL ( 1P ) PERL REFERENCE PAGES PERL(1P) NAME perl Practical Extraction and Report Language SYNOPSIS Forease of access, the Perl manual has been split up into a number of sections: perl Perl overview (this section) perldata Perl data structures perlsyn Perl syntax perlop Perl operators and precedence
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/packages/perl5.000-doc.ps.gz, 19941109
PERL ( 1P ) PERL REFERENCE PAGES PERL(1P) NAME perl Practical Extraction and Report Language SYNOPSIS Forease of access, the Perl manual has been split up into a number of sections: perl Perl overview (this section) perldata Perl data structures perlsyn Perl syntax perlop Perl operators and precedence
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/packages/graphics/xpm-3-paper.ps.Z, 19941205
XPM The X PixMap Format Arnaud Le Hors & Colas Nahaboo lehors@sophia.inria.fr colas@sophia.inria.fr BULL Research FRANCE { Sophia Antipolis November 1991 1 Introduction: Why another image format As many X programmers, when we began to try to include color images in our X programs, we were faced with a
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FLEXFAXFREQUENTLY ASKED QUESTIONS This FAQ was created: 11:20:33 AM 11/28/94 Changes are relative to the FAQ of: 12:47:38 PM 10/30/94 Master FTP Site: sgi.com (192.48.153.1), directory sgi/fax Home Page: http://www.vix.com/flexfax/ This is a living list of frequently asked questions about the FlexFAX
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FLEXFAXHOME PAGE Latest Release: v2.2.2pl1 Latest Software: v2.3beta036special Master FTP Site: sgi.com (192.48.153.1), directory sgi/fax Home Page: http://www.vix.com/flexfax/ FAQ Page: http://www.vix.com/flexfax/FAQ/ This is the home page for the FlexFAX facsimile software system. Check here for news
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/chorales/chorales.ps.gz, 19950109
1 Comparing Human and Computational Models of Music Prediction Ian H. Witten Department of Computer Science, University of Waikato, Hamilton, New Zealand ihw@waikato.ac.NZ Leonard C. Manzara Department of Computer Science, University of Calgary, Calgary, Canada manzara@cpsc.ucalgary.CA Darrell Conklin
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/picsil/nelcon_91.ps.gz, 19950109
PICSIL A Data Flow Approach to Silicon Compilation M W Pearson P J Lyons M D Apperley Department of Computer Science Massey University Palmerston North, New Zealand Silicon Compilation is a promising approach to designing today's complex ICs, which have rendered traditional design methods inadequate.
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/ppm/zero_frequency.ps.gz, 19950109
Experiments on the zero frequency problem John G. Cleary, W. J. Teahan Department of Computer Science, University of Waikato, New Zealand 1 Introduction The best algorithms for lossless compression of text are those which adapt to the text being compressed . Two classes of such adaptive techniques
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/grammar/grammar-induction.ps.gz, 19950109
sentence-1 . . .sentence-2sentence-nLEXICONsymbollic expr.phrase category symbol substitution phrase separation phraseinfra-phrase pattern generalizationphrasephrasephrasephrasephraseinitial PSRs final PSRs rule generalization Figure 3: Overview of the induction procedure The1342-edthein thewasby
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Displaying 3D Images: Algorithms for Single Image Random Dot Stereograms Harold W. Thimbleby, Stuart Inglis, and Ian H. Witten *
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/proof/existence.proof.ps.gz, 19950109
Proving the Existence of Solutions in Logical Arithmetic John G. Cleary, University of Waikato, Hamilton, New Zealand. email: jcleary@waikato.ac.nz
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/opengl/analysis.ps.gz, 19950109
Analysis of PEX 5.1 and OpenGL 1.0 Allen Akin Silicon Graphics Computer Systems August 3, 1992 2 Analysis of PEX 5.1 and OpenGL 1.0 1. Introduction PEX and OpenGL are two 3D graphics systems contending for the position of de facto standard in the workstation market. While they are similar in many ways,
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/mviews/VL93.ps.gz, 19950109
Constructing Multi-View Editing Environments Using MViews John C. Grundy and John G. Hosking Department of Computer Science University of Auckland, New Zealand email: john@cs.auckland.ac.nz MViews abstracts out common features of multi-view editing environments that support integrated textual and
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/parallel_prolog/parallel_prolog.ps.gz, 19950109
The Design of an Optimistic AND-Parallel Prolog Ian Olthof John G. Clearyy November 9, 1993
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/grammar/grammar-evaluation.ps.gz, 19950109
been achieved using the right productions. It is not clear at this stage whether this is important. Further, induction of natural language grammars may include additional constraints on evaluation, such as psychological plausibility and generative capacity. Metrics for these properties might prove
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/chorales/chorales_abstract.ps.gz, 19950109
Comparing Human and Computational Models of Music Prediction IAN H. WITTEN Department of Computer Science, University of Waikato, Hamilton, New Zealand LEONARD C. MANZARA Department of Computer Science, University of Calgary, Calgary, Canada DARRELL CONKLIN Department of Computer Science, Queens
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/two_courses/two_courses.ps.gz, 19950109
Getting research students started: a tale of two courses Ian H. Witten Department of Computer Science, University of Waikato, Hamilton, New Zealand Timothy C. Bell Department of Computer Science, University of Canterbury, Christchurch, New Zealand Address for correspondence: Ian H. Witten, Department of
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/texdiags/texdiags.ps.gz, 19950109
Drawing Diagrams in TEX* Documents W. J. Rogers and G. Holmes Department of Computer Science University of Waikato
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/practical_ml/practical_ml.ps.gz, 19950109
Practical machine learning and its potential application to problems in agriculture Ian H. Witten, Sally Jo Cunningham, Geoffrey Holmes, Robert J. McQueen, Lloyd A. Smith Department of Computer Science University of Waikato Hamilton, New Zealand ihw@waikato.ac.NZ
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/mviews/MViews_thesis.ps.Z, 19950109
Multiple textual and graphical views for Interactive Software Development Environments John Collis Grundy A thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science University of Auckland June 1993
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i PICSIL: DESIGN AND SYNTHESIS OF DIGITAL ICS FROM DATA FLOW DIAGRAMS A dissertation presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science at Massey University Murray William Pearson 1992 ii iii
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/voice/voice.ps.gz, 19950109
Voice Input and Information Exchange in Asynchronous Group Communication Robert John McQueen University of Waikato Hamilton, New Zealand bmcqueen@waikato.ac.nz
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/crypt/crypt.ps.gz, 19950109
Chinks in the Armor of Public Key Cryptosystems William J. Wilson 1239 Blevins Gap Road SE, Huntsville AL 35802 USA. E-mail address: WARLOCK@acm.org March 2, 1994
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/lossy/Lossy_text_compression.ps.gz, 19950109
Semantic and generative models for lossy text compression Ian H. Witten Department of Computer Science, University of Waikato, Hamilton, New Zealand Timothy C. Bell Department of Computer Science, University of Canterbury, Christchurch, New Zealand Alistair Moffat Department of Computer Science,
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/ear/report.ps.Z, 19950109
University of Waikato 1993 Computer Ear Training System A thesis submitted in partial fulfilment of the requirements for the degree of Bachelor of Computing and Mathematical Science at the University of Waikato by Sandy Davidson
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/parody/text-generation.ps.gz, 19950109
Models for Computer Generated Parody Tony C. Smith Department of Computer Science, University of Calgary, Calgary T2N 1N4, Canada Email: tcs@waikato.ac.NZ; phone: +64 (7) 838 4453; fax: +64 (7) 838 4155 Keywords: modeling, text generation, context-free grammar, induction, lexical tagging.
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/speech/natural_lang.ps.gz, 19950109
Natural Language Processing In Speech Understanding Systems G. Holmes Department of Computer Science, University of Waikato, New Zealand Overview Speech understanding systems (SUS's) came of age in late 1971 as a result of a five year development programme instigated by the Information Processing
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/spe/NZCS93.ps.gz, 19950109
Integrated object-oriented software development in SPE John C. Grundy and John G. Hosking Department of Computer Science University of Auckland Private Bag 92019, Auckland jgru1@cs.auckland.ac.nz
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To appear in IEEE Proceedings of SRIG-ET 94. The Calculator Project - Formal Reasoning about Programs Steve Reeves Department of Computer Science University of Waikato New Zealand Doug Goldson Department of Computer Science Massey University New Zealand Pat Fung Tim O Shea CITE The Open University
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/ppm/unbounded.ps.gz, 19950321
Unbounded length contexts for PPM John G. Cleary, W. J. Teahan, Ian H. Witten Department of Computer Science, University of Waikato, New Zealand The PPM data compression scheme has set the performance standard in lossless compression of text throughout the past decade. The original algorithm was first
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/ppm/pe_for_ppm.ps.gz, 19950407
improved by carefully fine-tuning the techniques even further, but we are in danger of over-fitting the algorithm to suit the test data. Important questions have also been raised by this research that require further investigation. For example, why are bounded context models just as effective as
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/crossindex/paper.ps.gz, 19950505
STORING AND RETRIEVING KEYS IN A TABLE BY CROSS-INDEXING W. J. Teahan and Ian H. Witten Department of Computer Science, University of Waikato, Hamilton, New Zealand Phone +64 7 838 4246; fax 838 4155; email wjt@waikato.ac.NZ, ihw@waikato.ac.NZ
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/Nevill-Manning.ps, 19950613
Detecting Sequential Structure Craig G. Nevill-Manning and Ian H. Witten University of Waikato, Hamilton, New Zealand. {cgn, ihw}@waikato.ac.nz
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/formal_methods/formal_int.ps.gz, 19950705
1 1Building Formal Models of Graphical User Interfaces Steve Reeves Department of Computer Science University of Waikato
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1 1Yet Another Introduction to Constructive Type Theory Steve Reeves Department of Computer Science University of Waikato stever@waikato.ac.nz
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Working Paper Series ISSN 1170-487X MiraCalc: The Miranda Calculator The Unix Version by Doug Goldson, Mike Hopkins and Steve Reeves Working Paper 94/5 April, 1994 1995 by Doug Goldson, Mike Hopkins and Steve Reeves. Department of Computer Science The University of Waikato Private Bag 3105 Hamilton, New
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/calculators/PICTCalc.ps.gz, 19950706
1 Working Paper Series ISSN 1170-487X A Calculator for supporting derivation in constructive type-theory: PICTCalc by Steve Reeves Working Paper 94/8 April, 1994 1994 by Steve Reeves. Department of Computer Science The University of Waikato Private Bag 3105 Hamilton, New Zealand 2 A Calculator for
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/formal_methods/fm-gui.ps.gz, 19950822
1 Working Paper Series ISSN 1170-487X A Teaching and Support Tool for Building Formal Models of Graphical User-Interfaces by Steve Reeves Working Paper 95/21 August 1995 1995 by Steve Reeves. Department of Computer Science The University of Waikato Private Bag 3105 Hamilton, New Zealand 2 A Teaching and
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/cscw/EDMEDIA95.ps.gz, 19950905
User Perceptions of Human-to-Human Communication Modes in CSCW Environments Masood Masoodian, Mark Apperley Department of Computer Science University of Waikato, Hamilton, New Zealand E-Mail: masood@cs.waikato.ac.nz Department of Computer Science University of Waikato, Hamilton, New Zealand E-Mail:
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/cscw/IWC95-3.ps.gz, 19950905
VIDEO SUPPORT FOR SHARED WORK-SPACE INTERACTION - AN EMPIRICAL STUDY Masood Masoodian Dept. of Computer Science University of Waikato New Zealand Mark Apperley Dept. of Computer Science University of Waikato New Zealand Lesley Frederikson Dept. of Human Resource Management Massey University New Zealand
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/cscw/OZCHI94.ps.gz, 19950905
THE IMPACT OF HUMAN-TO-HUMAN COMMUNICATION MODES IN CSCW ENVIRONMENTS Masood Masoodian Dept. of Computer Science Massey University New Zealand Mark Apperley Dept. of Computer Science University of Waikato New Zealand Lesley Frederikson Dept. of Human Resource Management Massey University New Zealand
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/cscw/CHI95.ps.gz, 19950905
AN EXPERIMENTAL EVALUATION OF VIDEO SUPPORT FOR SHARED WORK-SPACE INTERACTION Mark Apperley and Masood Masoodian Department of Computer Science University of Waikato, Hamilton, New Zealand m.apperley@waikato.ac.nz
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/ppm/entropy.ps.gz, 19951128
P.B. Denes and E.N. Pinson. The speech chain the physics and biology of spoken language. W.H.Freeman and Co., New York, 1993. P. Fenwick. Improvements to the block sorting text compression algorithm. Technical Report 120, University of Auckland, Auckland, New Zealand, 1995. W. Francis and
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/McNab_et_al.ps.gz, 19960122
Towards the Digital Music Library: Tune Retrieval from Acoustic Input Rodger J. McNab1, Lloyd A. Smith,1 Ian H. Witten,1 Clare L. Henderson2 and Sally Jo Cunningham1 1Department of Computer Science 2School of Education University of Waikato, Hamilton, New Zealand. {rjmcnab, las, ihw,
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/formal_methods/FP_notes.ps.gz, 19960228
313 Prog. Langs. Steve Reeves, Dept. of Comp. Sci., University of Waikato, New Zealand 1 Notes for part of 0657.313 Programming Languages 1995 Steve Reeves Department of Computer Science University of Waikato Hamilton New Zealand stever@waikato.ac.nz http://www.cs.waikato.ac.nz/~stever 313 Prog. Langs.
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ihw/p.ps, 19960428
How to get (and keep) a research grant by Ian H. Witten updated by Janice I. Glasgow 1 Introduction Ian Witten wrote the article How to get a research grant"1. after having just spent three years on the Natural Sciences and Engineering Research Council of Canada (NSERC) grant selection committee for
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/bcs/n2paper.ps.gz, 19960429
Nigel: A Simple Approach to General User Accounting (Or: What We Did In Their Holidays) Andrew Donkin Brent C. Summers Mahendra Vallabh School of Computing & Mathematical Sciences University of Waikato (A.Donkin|B.Summers|M.Vallabh)@cs.waikato.ac.nz April 30, 1996
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Page 1 Serendipity: integrated environment support for process modelling, enactment and improvement JOHN C. GRUNDY Department of Computer Science University of Waikato Private Bag 3105, Hamilton, New Zealand email: jgrundy@cs.waikato.ac.nz JOHN G. HOSKING Department of Computer Science, University of
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/jgrundy/grundy_venable.ps.Z, 19960429
Supporting Collaborative Work in Integrated Information Systems Engineering Environments John C. Grundy , John R. Venable , John G. Hosking and Warwick B. Mugridge Department of Computer Science Department of Computer Science University of Waikato University of Auckland Private Bag 3105, Hamilton, New
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/packages/lam60.doc.ps.gz, 19960430
Ohio Supercomputer Center The Ohio State University Ohio LAM 6.0 December 13, 1995 UPERCOMPUTERS OHIO C E N T E R LAM is a parallel processing environment and development system for a network of independent computers. It features the Message-Passing Interface (MPI) programming standard, supported by
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SUPPORT FOR CONSTRUCTING ENVIRONMENTS WITH MULTIPLE VIEWS John C. Grundy , John G. Hosking , Warwick B. Mugridge , and Robert W. Amor Department of Computer Science Department of Computer Science Building Research Establishment University of Waikato University of Auckland Bucknalls Lane, Garston,
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/papers/atm/meas.ps.gz, 19960717
Cell Level Measurements of ATM Traffic Ian D Graham and John G Cleary Department of Computer Science, University of Waikato @cs.waikato.ac.nz Pre-publication draft, not to be quoted without the authors permission 2 CELL LEVEL MEASUREMENTS OF ATM TRAFFIC
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1994/Witten94-Trans-Pacific.ps.gz, 19960725
Trans-Pacific machine learning research: The Calgary/Waikato axis Ian H. Witten Department of Computer Science, University of Calgary, Calgary T2N 1N4 Canada Department of Computer Science, University of Waikato, Hamilton, New Zealand Email: ian@cpsc.ucalgary.ca The following five contributions
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1995/Smith95-PACLING.ps.gz, 19960725
S. Finch and N. Chater, Bootstrapping syntactic categories using statistical methods, in Background and Experiments in Machine Learning of Natural Language (D. Daelemans, W. & Powers, ed.), (Tilburg, NL.), pp. 229 236, ITK, 1992. D. Caplan, Neurolinguistics and Linguistic Aphasiology. Cambridge:
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1995/Cleary-Teahan-zerofreq95.ps.gz, 19960725
Experiments on the zero frequency problem John G. Cleary, W. J. Teahan Department of Computer Science, University of Waikato, New Zealand 1 Introduction The best algorithms for lossless compression of text are those which adapt to the text being compressed . Two classes of such adaptive techniques
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1994/McQueen94-WEKA.ps.gz, 19960725
The WEKA machine learning workbench: Its application to a real world agricultural database Robert J. McQueen, Donna L. Neal, Rhys DeWar, Stephen R. Garner and Craig G. Nevill-Manning Department of Computer Science, University of Waikato, Hamilton, New Zealand. Email: bmcqueen@waikato.ac.nz 1
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1993/Holmes-Cunningham-using-DM93.ps, 19960725
Using Data Mining to Support the Construction and Maintenance of Expert Systems Geoffrey Holmes and Sally Jo Cunningham Department of Computer Science University of Waikato Hamilton New Zealand email: Geoffrey Holmes g.holmes@waikato.ac.nz Sally Jo Cunningham sallyjo@waikato.ac.nz
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1995/Garner95-ML-Agri.ps.gz, 19960725
1 Machine learning from agricultural databases: practice and experience Stephen R. Garner, Geoffrey Holmes, Robert J. McQueen and Ian H. Witten Department of Computer Science University of Waikato Hamilton, New Zealand srg1@cs.waikato.ac.nz
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1995/Garner95-WEKA.ps.gz, 19960725
WEKA: The Waikato Environment for Knowledge Analysis Stephen R. Garner Department of Computer Science, University of Waikato, Hamilton.
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1 __________________________________ WEKA MACHINE LEARNING PROJECT COW CULLING __________________________________ By: Rhys De War Donna Liane Neal September 1993 to March 1994 3 TABLE OF CONTENTS 1. Introduction 5 2. Objective 2.1 Project Objective 5 2.2 LIC Objective 5 3. The Data 3.1 Data Source 7 3.2
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1995/Nevill-Manning95-PBD.ps.gz, 19960725
Detecting Sequential Structure Craig G. Nevill-Manning and Ian H. Witten University of Waikato, Hamilton, New Zealand. {cgn, ihw}@waikato.ac.nz
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1995/Mitchell95-Time-Series.ps.gz, 19960725
The Application of Machine Learning Techniques to Time-Series Data A thesis submitted in partial fulfillment of the requirements for the degree of Master of Computing and Mathematical Sciences at the University of Waikato by Scott Mitchell University of Waikato 1995
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1995/Mitchell95-Oestrus.ps.gz, 19960725
1 An investigation into the use of machine learning for determining oestrus in cows R. Scott Mitchell1, Robert A. Sherlock2 and Lloyd A. Smith1 1 Department of Computer Science, University of Waikato, Hamilton, New Zealand. {rsm1,las}@waikato.ac.nz 2 Dairying Research Corporation Limited, Hamilton, New
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The Development of Holte s 1R Classifier Craig Nevill-Manning, Geoffrey Holmes and Ian H. Witten Department of Computer Science, University of Waikato, Hamilton, New Zealand. cgn,geoff,ihw@cs.waikato.ac.nz
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1994/Nevill-Manning94-Hier-Comp.ps.gz, 19960725
1 Compression by Induction of Hierarchical Grammars Craig G. Nevill-Manning Computer Science, University of Waikato, Hamilton, New Zealand Telephone +64 7 838 4021; email cgn@waikato.ac.NZ Ian H. Witten Computer Science, University of Waikato, Hamilton, New Zealand Telephone +64 7 838 4246; email
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1994/Holmes-ANZIIS-WEKA.ps.gz, 19960725
WEKA: A Machine Learning Workbench Geoffrey Holmes, Andrew Donkin, and Ian H. Witten Department of Computer Science University of Waikato, Hamilton, New Zealand
open this document and view contentsftp://ftp.cs.waikato.ac.nz/pub/ml/publications/1994/Nevill-Manning94-Grammar-Seq.ps.gz, 19960725
Modeling Sequences using Grammars and Automata Craig G. Nevill-Manning Department of Computer Science, University of Waikato, Hamilton, New Zealand Email: cgn@waikato.ac.nz David Maulsby Department of Computer Science, University of Calgary, Calgary T2N 1N4, Canada Email: maulsby@cpsc.ucalgary.ca An
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Applying a Machine Learning Workbench: Experience with Agricultural Databases Stephen R. Garner, Sally Jo Cunningham, Geoffrey Holmes, Craig G. Nevill-Manning and Ian H. Witten Computer Science Department, University of Waikato, Hamilton, New Zealand. {srg1,sallyjo,geoff,cgn,ihw}@cs.waikato.ac.nz
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1 Applying Machine Learning to Agricultural Data ROBERT J. McQUEEN Management Systems, University of Waikato, Hamilton, New Zealand email bmcqueen@waikato.ac.nz STEPHEN R. GARNER CRAIG G. NEVILL-MANNING IAN H. WITTEN Computer Science, University of Waikato, Hamilton, New Zealand email
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K*: An Instance-based Learner Using an Entropic Distance Measure John G. Cleary, Leonard E. Trigg, Dept. of Computer Science, University of Waikato, New Zealand. e-mail:{jcleary,trigg}@waikato.ac.nz
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, , 13 () c Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. Complexityased Induction DARRELL CONKLIN conklin@qucis.queensu.ca Department of Computing and Information Science, Queen's University, Kingston, Ontario, Canada,
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a simple method for subset selection which assists learning schemes in the execution of their task by relieving them of the burden of determining relevancy without impairing their ability to learn useful concepts. References R. C. Holte. Very simple classification rules perform well on most commonly
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Stich, S. 1980. Grammar, psychology, and indeterminacy. In Block, N., ed., Readings in Philosophy of Psychology, Volume 2. London: Methuen and Co. 208 222. reprint. Wijkman, P. A. I. 1994. A framework for evolutionary computation. In The Third Turkish Symposium on Artificial Intelligence and Neural
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Practical machine learning and its potential application to problems in agriculture Ian H. Witten, Sally Jo Cunningham, Geoffrey Holmes, Robert J. McQueen, Lloyd A. Smith Department of Computer Science University of Waikato Hamilton, New Zealand ihw@waikato.ac.NZ
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PBD SYSTEMS: WHEN WILL THEY EVER LEARN Ian H. Witten Computer Science, University of Waikato, Hamilton, New Zealand; ihw@waikato.ac.nz
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Data transformation: Asemantically-based approach to function discovery THONG H. PHAN (phant@cpsc.ucalgary.ca) Computer Science Department, University of Calgary (403) 220-7140/241-3288 2500 University Drive N.W., Calgary, Alberta, Canada, T2N 1N4 IAN H. WITTEN (ihw@waikato.ac.nz) Computer Science
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Knowledge-rich induction of classification rules Brent Martin Department of Computer Science, University of Waikato, Hamilton, New Zealand Email: bim@waikato.ac.nz Introduction The purpose of this research was to produce a machine learning system that can take advantage of many forms of background
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An MDL Estimate of the Significance of Rules John G. Cleary, jcleary@cs.waikato.ac.nz Shane Legg, sleg001@advlab.math.auckland.ac.nz Ian H. Witten ihw@cs.waikato.ac.nz Department of Computer Science, University of Waikato, ph: +64-7-838-4378 Private Bag 3015, fax: +64-7-838-4155 Hamilton, New Zealand
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Applications of Machine Learning on two agricultural datasets* Stuart Yeates Kirsten Thomson Computer Science Department Waikato University stuart@cosc.canterbury.ac.nz kthomson@cs.waikato.ac.nz
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Geometric Comparison of Classifications and Rule Sets* Trevor J. Monk, R. Scott Mitchell, Lloyd A. Smith and Geoffrey Holmes Department of Computer Science University of Waikato Hamilton, New Zealand tmonk@cs.waikato.ac.nz, rsm1@cs.waikato.ac.nz, las@waikato.ac.nz, geoff@waikato.ac.nz
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A Tool for Model Generation and Knowledge Acquisition Sally Jo Cunningham Paul Denize sallyjo@waikato.ac.n z pdenize@waikato.ac.nz Dept. of Computer Science University of Waikato Private Bag 3105 Hamilton, New Zealand phone: (647) 856-2889 fax: (647) 838-4155
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Machine Learning and Statistics: A matter of perspective Sally Jo Cunningham Department of Computer Science University of Waikato Hamilton, New Zealand email: sallyjo@waikato.ac.nz
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1 FEATURE SELECTION VIA THE DISCOVERY OF SIMPLE CLASSIFICATION RULES G. Holmes & C.G. Nevill-Manning Department of Computer Science University of Waikato, Hamilton, New Zealand
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MetaData for Database Mining John Cleary, Geoffrey Holmes, Sally Jo Cunningham, and Ian H. Witten Department of Computer Science University of Waikato Hamilton, New Zealand.
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Working Paper Series ISSN 1170-487X Analysis of Cow Culling Data with a Machine Learning Workbench by Rhys E. DeWar1 and Robert J. McQueen2 Working Paper 95/1 January, 1995 1995 by Rhys E. DeWar & Robert J. McQueen Department of Computer Science University of Waikato Private Bag 3105 Hamilton, New
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Function Discovery using Data Transformation Thong H. Phan | phant@cpsc.ucalgary.ca Computer Science Department, University of Calgary, Calgary, Canada Ian H. Witten | ihw@waikato.ac.nz Computer Science Department, University of Waikato, Hamilton, New Zealand 1 Introduction Function discovery is the
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Compressing semi-structured text using hierarchical phrase identification Craig G. Nevill-Manning, Ian H. Witten Computer Science, University of Waikato, Hamilton, New Zealand email {cgn, ihw}@waikato.ac.nz Dan R. Olsen Jr. Computer Science, Brigham Young University, Provo, Utah, USA email
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INSTANCE-BASED LEARNING: Nearest Neighbour with Generalisation A thesis submitted to the Department of Computer Science in partial fulfilment of the requirements for the degree of Master of Science by Brent Martin Department of Computer Science University of Waikato Hamilton, New Zealand March, 1995
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Persistence of Vision Ray-Tracer (POV-Ray ) User's Documentation 3.0.10 Copyright 1996 POV-Team Contents 1 Introduction 1 1.1 Notation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 I Installation Guide 3 2 Program Description 5 2.1 What is Ray-Tracing . . . . . . . . . . . . .
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This thesis is submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Computer Science at the University of Waikato. May 1996 1996 Craig G. Nevill-Manning Inferring Sequential Structure Craig G. Nevill-Manning
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a /fib dup 2 eq dup 1 sub fib exch 2 sub fib add } ifelse } ifelse } def (Fib = ) show 6 fib ( ) cvs show b Fib = 8 Figure 1 A PostScript program that prints Fibonacci numbers the figure 8 does not occur in the text of the program (a) the program (b) the rendered
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Extracting text from PostScript Todd Reed, Craig G. Nevill-Manning and Ian H. Witten Computer Science Department, University of Waikato, New Zealand {treed, cgn, ihw} @cs.waikato.ac.nz 1 Introduction It is often useful to be able to extract plain text from PostScript files. For example, the New Zealand
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1 Compressing Computer Programs Rod M. Davies Computer Science, University of Waikato, Hamilton, New Zealand email rdavies@waikato.ac.nz Ian H. Witten Computer Science, University of Waikato, Hamilton, New Zealand email ihw@waikato.ac.nz 1. Introduction Computer programs offer great potential for
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User Perceptions of Human-to-Human Communication Modes in CSCW Environments Masood Masoodian, Mark Apperley Department of Computer Science University of Waikato, Hamilton, New Zealand E-Mail: masood@cs.waikato.ac.nz Department of Computer Science University of Waikato, Hamilton, New Zealand E-Mail:
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VIDEO SUPPORT FOR SHARED WORK-SPACE INTERACTION - AN EMPIRICAL STUDY Masood Masoodian Dept. of Computer Science University of Waikato New Zealand Mark Apperley Dept. of Computer Science University of Waikato New Zealand Lesley Frederikson Dept. of Human Resource Management Massey University New Zealand
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AN EXPERIMENTAL EVALUATION OF VIDEO SUPPORT FOR SHARED WORK-SPACE INTERACTION Mark Apperley and Masood Masoodian Department of Computer Science University of Waikato, Hamilton, New Zealand m.apperley@waikato.ac.nz
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The Effect of Group Size and Communication Modes in CSCW Environments Masood Masoodian Department of Computer Science University of Waikato, Hamilton, New Zealand masood@cs.waikato.ac.nz Mark Apperley Department of Computer Science University of Waikato, Hamilton, New Zealand m.apperley@cs.waikato.ac.nz
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THE IMPACT OF HUMAN-TO-HUMAN COMMUNICATION MODES IN CSCW ENVIRONMENTS Masood Masoodian Dept. of Computer Science Massey University New Zealand Mark Apperley Dept. of Computer Science University of Waikato New Zealand Lesley Frederikson Dept. of Human Resource Management Massey University New Zealand
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1 Notes: An Experiment in CSCW Mark Apperley, Simon Gianoutsos, John Grundy Gordon Paynter, Steve Reeves John Venable Department of Computer Science University of Waikato HAMILTON New Zealand
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A Logic for Specifying and Reasoning About Cooperative Environments Steve Reeves Department of Computer Science University of Waikato HAMILTON New Zealand stever@waikato.ac.nz
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1 CSCW in New Zealand: A Snapshot Colin Blackett Steve Reeves stever@waikato.ac.nz Department of Computer Science University of Waikato HAMILTON New Zealand http://www.cs.waikato.ac.nz 1 Introduction This report has been produced as one of the outputs of the FoRST funded project Improved Computer
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Page 1 Serendipity: integrated environment support for process modelling, enactment and work coordination John C. Grundy Department of Computer Science University of Waikato Private Bag 3105, Hamilton, New Zealand email: jgrundy@cs.waikato.ac.nz John Hosking Department of Computer Science, University of
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phrase (bits) how to recognize speech 48.53 how to recognize beach 52.70 how two recognize speech 55.24 how to recognize peach 55.55 how to wreck a nice beach 70.07 how to wreck a nice speech 70.09 how to wreck a nice peach 71.10 how too wreck a nice beech 78.14 to bear arms against a sea of troubles
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Models of English text W. J. Teahan, John G. Cleary1 Department of Computer Science, University of Waikato, New Zealand The problem of constructing models of English text is considered. A number of applications of such models including cryptology, spelling correction and speech recognition are reviewed.
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Unbounded length contexts for PPM 9 DMC data compression scheme", Computer Journal, 32(1), 16{20. Bloom, C. (1996). PPMZ. http://wwwvms.utexas.edu/ cbloom Bunton, S. (1996). On-line stochastic process in data compression", Ph.D. thesis, University of Washington. Bunton, S. (1997). Semantically
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Intelligent Data Analysis: 1997 Elsevier Science Inc. All rights reserved. Go to: IDA Home * Search * Table of Issues * Table of Contents Article References Aha, D.W., Generalizing from case studies: A Case Study, in Proceedings of the Ninth International Conference on Machine Learning,
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Intelligent Data Analysis: 1997 Elsevier Science Inc. All rights reserved. Go to: IDA Home * Search * Table of Issues * Table of Contents References Decision Combination Based on the Characterisation of Predictive Accuracy Kai Ming Ting Manuscript received 26 February 1997; reviewed 8 April 1997;
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Boosting Trees for Cost-Sensitive Classifications Kai Ming Ting1 and Zijian Zheng2 1 Department of Computer Science, University of Waikato, Hamilton, New Zealand. 2 School of Computing and Mathematics, Deakin University, Vic 3217, Australia.