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String Search Graham A Stephen1 October 1992 Technical Report TR-92-gas-01 School of Electronic Engineering Science University College of North Wales Dean Street, Bangor, Gwynedd, UK LL57 1UT. (email: graham@sees.bangor.ac.uk) Copyright c Graham A Stephen 1992 All rights reserved. This document may be
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String Search Graham A Stephen1 October 1992 Technical Report TR-92-gas-01 School of Electronic Engineering Science University College of North Wales Dean Street, Bangor, Gwynedd, UK LL57 1UT. (email: graham@sees.bangor.ac.uk) Copyright c Graham A Stephen 1992 All rights reserved. This document may be
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An Examination of a Conjectured Compression-based Model of Computation Graham A Stephen1 February 1993 Technical Report TR-93-gas-01 School of Electronic Engineering and Computer Systems University College of North Wales Dean Street, Bangor, Gwynedd, UK LL57 1UT. (email: graham@sees.bangor.ac.uk)
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Modelling propagation in optical fibres using wavelets Lionel R. Watkins, Member, IEEE and Yu Rong Zhou, Student Member, IEEE
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In Journal of Information Science 20(1), 16-28,1994 A SCALEABLE TECHNIQUE FOR BEST-MATCH RETRIEVAL OF SEQUENTIAL INFORMATION USING METRICS-GUIDED SEARCH J Gerard Wolff September 1993 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK.
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In AI Communications 6(2), 107-127, 1993. COMPUTING, COGNITION AND INFORMATION COMPRESSION J Gerard Wolff January 1993 School of Electronic Engineering and Computer Science, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. Telephone: +44 248 382691. Fax: +44 248 361429. E-mail:
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SIMPLICITY AND POWER Some Unifying Ideas in Computing Gerry Wolff School of Electronic Engineering Science, University of Wales (Bangor), Dean Street, Bangor, Gwynedd, LL57 1UT, UK. +44 248 351151 ext 2691 Issue: 1.1 20 September 1988 This article is to appear in the Computer Journal - 2 - 1. DOCUMENT
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THE MANAGEMENT OF RISK IN SYSTEM DEVELOPMENT: PROJECT SP AND THE NEW SPIRAL MODEL J Gerard Wolff School of Electronic Engineering Science, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. Telephone: +44 248 351151 ext 2691. Janet: g.wolff@uk.ac.bangor.complab.vaxa. Issue 1.1 5 January
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In Software Engineering Journal 9(1), 27-38, 1994. TOWARDS A NEW CONCEPT OF SOFTWARE J Gerard Wolff July 1993 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. Telephone: +44 248 382691. Fax: +44 248 361429. E-mail:
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In AI Communications 7 (3/4), 203-219, 1994 COMPUTING AND INFORMATION COMPRESSION: A REPLY J Gerard Wolff June 1994 1.2 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. Telephone: +44 248 382691. Fax: +44 248 361429. E-mail:
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To appear in Computational Learning and Probabilistic Reasoning, A. Gammerman (Ed.), New York: Wiley. This is a revised version of Learning and reasoning as compression by multiple alignment and unification presented at Applied Decision Technologies 95, Brunel University, April 1995. A copy of that
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INFORMATION COMPRESSION AND LOGIC J Gerard Wolff October 1995 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. Tel: +44 1248 382691. E-mail: gerry@sees.bangor.ac.uk. Fax: +44 1248 361429. Web: http:// www.sees.bangor.ac.uk/~gerry. -
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MULTIPLE ALIGNMENT AND LOGIC J Gerard Wolff October 1995 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. Tel: +44 1248 382691. E-mail: gerry@sees.bangor.ac.uk. Fax: +44 1248 361429. Web: http:// www.sees.bangor.ac.uk/~gerry. - 2 -
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In Computer Journal 38(3), 253-255, 1995. What is SP : a Reply J. Gerard Wolff School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. My interest in information compression as an explanatory principle in information processing was sparked
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COMPUTING AS COMPRESSION BY MULTIPLE ALIGNMENT, UNIFICATION AND SEARCH (1) J Gerard Wolff July 1995 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, LL57 1UT, UK. Telephone: +44 1248 382691. E-mail: gerry@sees.bangor.ac.uk. Fax: +44 1248 361429. Web:
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MULTIPLE ALIGNMENT AND COMPUTING J Gerard Wolff November 1995 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. Telephone: +44 1248 382691. E-mail: gerry@sees.bangor.ac.uk. Fax: +44 1248 361429. Web:
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COMPUTING AS COMPRESSION BY MULTIPLE ALIGNMENT, UNIFICATION AND SEARCH (2) J Gerard Wolff July 1995 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, LL57 1UT, UK. Telephone +44 1248 382691. E-mail: gerry@sees.bangor.ac.uk. Fax: +44 1248 361429. Web:
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INFORMATION COMPRESSION BY MULTIPLE ALIGNMENT, UNIFICATION AND SEARCH AS A GENERAL THEORY OF COMPUTING J. Gerard Wolff February 1996 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. Tel: +44 1248 382691. E-mail:
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PARSING, MULTIPLE ALIGNMENT AND INFORMATION COMPRESSION J Gerard Wolff 9 May 1996 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. Tel: +44 1248 382691. E-mail: gerry@sees.bangor.ac.uk. Fax: +44 1248 361429. Web: http://
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PARSING AS INFORMATION COMPRESSION BY MULTIPLE ALIGNMENT, UNIFICATION AND SEARCH J Gerard Wolff CS-JGW-96-2 May 1996 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, LL57 1UT, UK. Telephone: +44 1248 382691. E-mail: gerry@sees.bangor.ac.uk. Fax: +44 1248
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184 CHAPTER 8: CONCLUSIONS algorithm to the sequence first, and then produce an automaton from the higher- level non-terminals. This is a compelling symbiosis: SEQUITUR identifies the significant segments of the sequences, and the automaton captures the branching and looping relationships between them.
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144 CHAPTER 6: DATA COMPRESSION graphical interpretation sequence length 908 670 140 842 PPM 37 037 (4.0%) 7436 (5.2%) gzip 8 395 (0.9%) 2697 (1.9%) SEQUITUR textual 3 179 (0.3%) 8572 (6.0%) SEQUITUR 658 (0.07%) 1732 (1.2%) Table 6.3 Compression of context-sensitive L-system output (after Prusinkiewicz
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164 CHAPTER 7: APPLICATIONS Most post-determiner determiner Labour noun noun sentiment noun noun AEwould modal auxiliary auxiliary still adverb adverb favour verb verb the plural/singular article article abolition noun noun of preposition preposition the plural/singular article article House locative
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4 CHAPTER ONE: INTRODUCTION The first kind of regularity proposed is a hierarchy of repetitions. Any sequence that consists of symbols drawn from a finite alphabet will inevitably contain repeated subsequences as it grows longer. Some of these repetitions may be coincidental, but in many cases they
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44 CHAPTER TWO: BACKGROUND In discussing possible mechanisms to explain their observations, Hayes and Clark describe a subject s eye view of the experiment: The process seems to proceed roughly as follows. At first, the sound stream seems quite amorphous and featureless. After a minute of listening, an
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124 CHAPTER 5: GENERALISING THE GRAMMAR immediately to the system for feedback to the user. Second, if analysis is performed on the fly, branches like the case...value branch can be captured before rule C is formed. There are, however, two significant problems with this approach. First, it will not
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84 CHAPTER 4: IMPROVING THE GRAMMAR S fi CEJLIJOMNIGPOPDf A fi f E fi B+ F fi B- G fi HK H fi CD I fi A+ J fi GM K fi EF L fi EH M fi FG N fi FH O fi DKLK P fi NK ffff]ffff]fff fff]fffff]ffff
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24 CHAPTER TWO: BACKGROUND to PBD in four different domains: a hand-held calculator, a text-based computing environment, a text editor, and a graphical editor. Whereas calculators alleviate the drudgery of manual calculation, they do little to allow automation of complex calculations involving several
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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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104 CHAPTER 5: GENERALISING THE GRAMMAR match_rules(G, G2, Unify) :- member(, G, N1), member(, G, N2), pick two rules N1 < N2, if they re different Unify=yes, if this is a top-level call =; unify the rules T1==T2, !, H1=H2; otherwise, if the heads are identical unify the
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64 CHAPTER 3: FORMING A HIERARCHICAL GRAMMAR all digrams are unique apart from the duplicate in question, then any other occurrence of the non-terminal apart from the two in the duplicate digrams must be followed by some other symbol. So if the non-terminal occurs more than twice, the rule it heads
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The Design of an Associative Processor Array A.W.G. Duller1 R.H. Storer1 A.R. Thomson1 E.L. Dagless1 M.R. Pout1 A.P. Marriott2 J. Goldfinch2 1. Dept. of Electrical and Electronic Engineering, University of Bristol, Bristol, UK. 2. I.C. Design and Test Centre, University of Manchester Institute of
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Simulation and Verification of Associative Processor Arrays A.W.G. Duller R. Storer School of Electronic Engineering Science Dept. Electrical Engineering University of Wales University of Bristol Bangor, Gwynedd LL57 1UT, UK. Bristol BS8 1TR, UK. Tel: +44 248 351151 x2716 Tel: +44 272 303030 x3292
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Paper presented at Expert Systems 90, the Tenth Annual Technical Conference of the British Computer Society Specialist Group on Expert Systems, London, September, 1990. In T R Addis and R M Muir (Eds.), Research and Development in Expert Systems VII, Cambridge: Cambridge University Press, 1990, pp.
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In Proceedings of the First International Workshop on Inductive Logic Programming, Portugal, 1991, pp. 177-191 ON THE INTEGRATION OF LEARNING, LOGICAL DEDUCTION AND PROBABILISTIC INDUCTIVE INFERENCE J Gerard Wolff School of Electronic Engineering Science, University of Wales, Bangor, LL57 1UT, UK.
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MODELLING OPTICAL PULSE PROPAGATION IN NONLINEAR MEDIA USING WAVELETS Iestyn Pierce and Lionel Watkins School of Electronic Engineering and Computer Systems University of Wales Bangor LL57 1UT, United Kingdom.
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The MEMOCO classification model Internal Report No. IR-RF01964 Rallis Farfarakis School of Electronic Engineering and Computer Systems University of Wales, Bangor 1 1. MEMOCO description MEMOCO represents a collective arrangement of different constraint classifications. Constraints play the most
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Constraint Programming in Object Oriented Technology: an application on timetabling systems Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science January 1995 Rallis Farfarakis School of Electronic Engineering and Computer Systems University of Wales,
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Case Study: A School Timetable System Internal Report No. IR-RF03964 Rallis Farfarakis School of Electronic Engineering and Computer Systems University of Wales, Bangor 1 Introduction The contents of this report describe the analysis of a real-world problem. More specifically, the problem description,
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LOGIC AS INFORMATION COMPRESSION BY MULTIPLE ALIGNMENT, UNIFICATION AND SEARCH J Gerard Wolff October 1996 Dr J G Wolff, School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, Gwynedd, LL57 1UT, UK. Tel: +44 1248
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PARSING AS INFORMATION COMPRESSION BY MULTIPLE ALIGNMENT, UNIFICATION AND SEARCH J Gerard Wolff November 1996 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, LL57 1UT, UK. Telephone: +44 1248 382691.
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1 Self-organising neural networks: their application to real-world" problems A.W.G. Duller
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.00.51.01.52.02.53.01.01.52.02.53.03.5TheoreticalSimulatedNormalizedpulsewidth(T1/T0)Normalizeddistance(z/Ld) 5101505,00010,00015,00020,000Power(mW)Time(ps) -202010203040Power(a.u.)Frequency(THz) .00.51.01.52.02.53.005,00010,00015,00020,00025,00030,000Power(mW)Time(ps)
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t h o s e t h a t h e l i k e s w i n PN PL 2 t h o s e #PN | | | | | | | | | | | | | | NP PL ; 1 PN PL #PN #NP | | | | | | | | | | | | | | | | | | DPN t h a t #DPN | | | | | | | | | | | | | | QL DPN #DPN S | | | | | | | #S #QL | | | S NP PL ; #NP QL | | | | | | | | | #QL V PL | | | #V #S | | | | | | |
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ae i s k r ee m A ae i s #A | | | | | | N k r ee m #N NP 2 A #A N #N #NP (a) ae i s k r ee m NP 1 ae i #NP | | | | | | | V s k r ee m #V S NP #NP V #V ADV #ADV #S (b) Figure 2
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l a p l u m e e s t s u r l e s p a p i e r s | | NR NF p l u m e #NR | | | | | | | | | | | | | | | | | | N NSNG NR | #NR #N | | | | | | | | | | | | | | | | D DSNG DF l a #D | | | | | | | | | | | | | | | | | | | | NP D | | #D N | | #N #NP | | | | | | | | | | | | | | | | | | | | | | V VSNG e s t #V | | |
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ae i s k r ee m l ae w d l i NP 1 ae i #NP | | | | | | | | | | | | | V s k r ee m #V | | | | | | | | | | ADV l ae w d l i #ADV S NP #NP V #V ADV #ADV #S (a) ae i s k r ee m i z k o l d | | | | | | | VB i z #VB | | | | | | | | | | | | | A 2 k o l d #A S 1 NP | | | | | | | #NP VB #VB A #A #S | A ae i s #A
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t h e r e d c a r s g o | | | | | | NR c a r #NR | | | | | | | | | N PL NR #NR s #N | | D : 2 t h e #D | | | | | | | | | | | A : r e d #A | | | | | NP PL ; D PL : #D A PL : #A N PL #N #NP | | | | | | V PL 1 g o #V S NP PL ; #NP QL #QL V PL #V #S (c) Figure 9
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t h e s e d o g s j u m p | | | | | NR 3 d o g #NR | | | | | | | | | | N PL NR #NR s #N | | | | D PL : t h e s e #D | | | | | | | NP PL ; D PL : #D A PL : #A N PL #N #NP | | | | S NP PL ; #NP QL #QL V PL | | | | #V #S | | VR 4 j u m p #VR | V PL VR #VR #V (b) Figure 9
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l e s p l u m e s s o n t v e r t e s | | | N NPL NR | | | | | #NR s #N | | | | | | | | | | | | | | | NR NF p l u m e #NR | | | | | | | | | | | D DPL l e s #D | | | | | | | | | | | | | | NP D | #D N | | #N #NP | | | | | | | | | | | | | | | V VPL s o n t #V | | | | | | | | | | | VP V | #V A | | | | | |
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t h o s e t h a t w e l i k e w i n | | | | | | | | | | | VR 2 l i k e #VR | | | | | | | | | | | | | | V PL VR #VR #V | | | | | | | | | | | | NP PL ; 1 w e #NP | | | | | | | | | | | | | | | S NP PL ; #NP QL #QL V PL #V #S | | | | | | | | DPN t h a t #DPN | | | | | | | | | | QL DPN #DPN S #S #QL | | | NP
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w e t h e m h a n s i t l e t h e l p e d p a i n t NP 3 w e #NP | | | | | | | | | | | | | | | | | | | | | | | | | | NP 2 t h e m #NP | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | V 3 l e t #V | | | | | | | | | | | S NP #NP S NP #NP | | | | | | : : #S V #V #S | | | | | | | | | | | S NP #NP
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w i l l i t h a v e b e e n b r o k e n | | | | | | | | | | V B EN b e EN1 | | #EN1 #V | | | | | | | | | | | | | | | | XB1 V B | | | | | #V #XB1 | | | | | | | | | | | | | | | | | | | EN1 e n #EN1 | | | | | | | | | | | | | | | | | | | | | V EN 1 b r o k EN1 | | #EN1 #V | | | | | | | | | | | | | | XV V |
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t h o s e t w o c a r s g o D DPL 1 t h o s e #D | | | | | | | | | | | | A APL t w o #A | | | | | | NP D | #D A | #A N | | | | #N #NP | | | | | | NR c a r #NR | | | | | | | | N NPL NR #NR s #N | | | | | | | | V VPL g o #V S NP | | | #NP V | #V #S | | NPL VPL DPL | NPL APL NPL Figure 11
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w e t h i n k h e s a i d t h a t i t g o e s f a s t | | | | | | | | | | | | | | | | | PN 3 i t #PN | | | | | | | | | | | | | | | | | | | | | | | | | | | V 5 g o e s #V | | | | | | | | | | | | | | | | | | | | | | | | | ADV f a s t #ADV | | | | | | | | | | | | | | | | | S PN #PN V #V ADV #ADV #S | | | |
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t h o s e i n g r e e n w i n PN PL 2 t h o s e #PN | | | | | | | | | | NP PL ; 1 PN PL #PN #NP | | | | | | | | | | | | | | PP i n #PP | | | | | | | | | | | | | | A : 2 g r e e n #A | | | | | | | QL 1 PP #PP A #A #QL | | | | | | | | | VR w i n #VR | | | | | | V PL VR #VR #V S NP PL ; #NP QL #QL V PL #V
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t h i s o n e m a n r u n s D SNG : 1 t h i s #D | | | | | | | | | | | | | | A SNG : o n e #A | | | | | | | | | | | | | | | N SNG 1 m a n #N | | | | NP SNG ; D SNG : #D A SNG : #A N SNG #N #NP | | | | | | | | V SNG VR | | | #VR s #V | | | | | | VR 1 r u n #VR | S NP SNG ; #NP QL #QL V SNG #V #S (a)
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a r e t h e y w a l k i n g | | | | | | | V ING 1 w a l k ING1 | | | #ING1 #V | | | | | | | XV V | | | | | | #V #S | | | | | | | | | ING1 i n g #ING1 | | | | NP PL t h e y #NP | | | S Q X1 | | | #X1 NP | #NP XR | | #S X1 2 XB1 FIN | | | #XB1 #X1 | XR XB XV | #S | V B PL FIN a r e #V | | | | XB1 V B | #V
open this document and view contentsftp://ftp.sees.bangor.ac.uk/pub/gerry/parsing/parse_b/fig16a.ps.Z, 19980203
i t i s w a s h e d | | | | | | | | ED e d #ED | | | | V EN 5 w a s h ED #ED #V | | | | XV V | #V #S | | B | | XV EN | NP SNG i t #NP | | | | | S ST NP | #NP X1 | | | #X1 XR | #S | X1 2 XB1 | FIN | | #XB1 #X1 XR XB XV #S | | V B SNG FIN i s #V | | XB1 V B | #V #XB1 SNG SNG (a) Figure 16
open this document and view contentsftp://ftp.sees.bangor.ac.uk/pub/gerry/parsing/parse_a/fig6.ps.Z, 19980204
S 1 1 #S S NP | | #NP V | #V NP | | #NP #S | | | | V l o v e s #V | | | | | D t h i s #D | | | | | | | | | N 1 b o y #N | | | | | NP D #D N #N #NP | | | | | D 1 t h a t #D | | | | | N g i r l #N | NP D #D N #N #NP Figure 6
open this document and view contentsftp://ftp.sees.bangor.ac.uk/pub/gerry/parsing/parse_a/fig4.ps.Z, 19980204
t h i s b o y l o v e s t h a t g i r l D t h i s #D | | | | | | | | | | | | | | | | | | N 1 b o y #N | | | | | | | | | | | | | NP D #D N #N #NP | | | | | | | | | | | | | | | V l o v e s #V | | | | | | | | S NP #NP V #V NP | | | | | | | | #NP #S | D 1 t h a t #D | | | | | | | | N g i r l #N | NP D #D N
open this document and view contentsftp://ftp.sees.bangor.ac.uk/pub/gerry/parsing/parse_b/parse_b.ps.Z, 19980210
PARSING AS INFORMATION COMPRESSION BY MULTIPLE ALIGNMENT, UNIFICATION AND SEARCH: EXAMPLES J Gerard Wolff February 1998 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, LL57 1UT, UK. Telephone: +44 1248 382691. E-mail: gerry@sees.bangor.ac.uk. Fax: +44
open this document and view contentsftp://ftp.sees.bangor.ac.uk/pub/gerry/parsing/parse_a/parse_a.ps.Z, 19980210
PARSING AS INFORMATION COMPRESSION BY MULTIPLE ALIGNMENT, UNIFICATION AND SEARCH: SP52 J Gerard Wolff February 1998 School of Electronic Engineering and Computer Systems, University of Wales, Dean Street, Bangor, LL57 1UT, UK. Telephone: +44 1248 382691. E-mail: gerry@sees.bangor.ac.uk. Fax: +44 1248