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1951-1967 1968-1972 1973-1974 1975 1976 1977 1978 1979 1980-1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002-Circa 13200000
1987open this document and view contents Debugging a DAG Efficiently - D. Angluin
open this document and view contents Some Notes on Chernoff Bounds - R. H. Sloan
open this document and view contents Semi-supervised learning - L. Pitt and R. Board
open this document and view contents Phoneme Recognition Using Time-Delay Neural Networks - A. Waibel, T. Hanazawa, G. Ginton and K. Shikano
open this document and view contents A Version Space Approach to Learning Context-free Grammars - Kurt Vanlehn and William Ball
open this document and view contents Simplifying Decision Trees - J. R. Quinlan
open this document and view contents Knowledge Acquisition Via Incremental Conceptual Clustering - Douglas H. Fisher
open this document and view contents Automatic learning, rule extraction and generalization - J. Denker, D. Schwartz, B. Wittner, S. Solla, R. Howard, L. Jackel and J. Hopfield
open this document and view contents Inferring parsers of context-free languages from structural examples - Y. Sakakibara
open this document and view contents The Asymptotic Theory of Extreme Order Statistics - Janos Galambos
open this document and view contents Neural Darwinism - The Theory of Neuronal Group Selection - G. M. Edelman
open this document and view contents A Review of the Fourth International Workshop on Machine Learning - R. P. Hall, B. Falkenhainer, N. Flann, S. Hampson, R. Reinke, J. Shrager, M. H. Sims and P. Tadepalli
open this document and view contents Univresal sequential Coding of Single Messages - Y. M. Shtarkov
open this document and view contents Learning Syntax by Automata Induction - Robert C. Berwick and Sam Pilato
open this document and view contents Applying Valiant's Learning Framework to AI Concept Learning Problems - D. Haussler
open this document and view contents Theory Change via View Application in Instructionless Learning - Jeff Shrager
open this document and view contents Learning Functions from Examples - B. K. Natarajan
open this document and view contents On the learnability of Boolean formulae - M. Kearns, M. Li, L. Pitt and L. Valiant
open this document and view contents Analogical and Inductive Inference, International Workshop AII '86. Wendisch-Rietz, GDR, October 1986, Proceedings - K. P. Jantke
open this document and view contents On Language and Connectionism: Analysis of a Parallel Distributed Processing Model of Language Acquisition - S. Pinker and A. Prince
open this document and view contents Learning Decision Lists - Ronald L. Rivest
open this document and view contents Classifier Systems and the Animat Problem - Stewart W. Wilson
open this document and view contents Language Learning by Automata Induction - R. C. Berwick
open this document and view contents Machine Learning and Concept Formation - P. Langley
open this document and view contents Application of a General Learning Algorithm to the Control of Robotic Manipulators - W. T. Miller, F. H. Glanz and L. G. Kraft
open this document and view contents Inductive inference of logic programs based on algebraic semantics - Y. Sakakibara
open this document and view contents Testing and inductive inference: abstract approaches - J. Cherniavsky and R. Statman
open this document and view contents A Mean Field Theory Learning Algorithm for Neural Networks - C. Peterson and J. R. Anderson
open this document and view contents Epsilon-nets and Simplex Range Queries - D. Haussler and E. Welzl
open this document and view contents On convergence to the truth and nothing but the truth - K. Kelly and C. Glymour
open this document and view contents Learning one-counter languages in polynomial time - P. Berman and R. Roos
open this document and view contents Shift of Bias for Inductive Concept Learning - P. Utgoff
open this document and view contents Research Papers in Machine Learning - P. Langley
open this document and view contents On learning Boolean functions - B. K. Natarajan
open this document and view contents Learning in permutation groups (extended abstract) - U. Feige and A. Shamir
open this document and view contents Radial Basis Functions for Multivariable Interpolation: A Review - M. J. D. Powell
open this document and view contents Efficient algorithms with neural networks behavior - S. Omohundro
open this document and view contents Diversity-based inference of finite automata - R. L. Rivest and R. E. Schapire
open this document and view contents Scaling relationships in back-propagation learning: dependence on training set size - G. Tesauro
open this document and view contents Inductive Inference - Dana Angluin and Carl H. Smith
open this document and view contents Machine Learning and Grammar Induction - P. Langley
open this document and view contents Algorithms in Combinatorial Geometry - H. Edelsbrunner
open this document and view contents Inference of visible simple assignment automata with planned experiments - R. Rivest and R. Schapire
open this document and view contents Experiments with Incremental Concept Formation: UNIMEM - Michael Lebowitz
open this document and view contents Inferring Parsers of Context Free Languages from Structural Examples - Y. Sakakibara
Januaryopen this document and view contents Learning One Subprocedure per Lesson - K. VanLehn
Februaryopen this document and view contents Parallel Networks that Learn to Pronounce English Text - T. J. Sejnowski and C. R. Rosenberg
Marchopen this document and view contents Stability and Looping in Connectionist Models with Assymmetric Weights - S. Porat
Aprilopen this document and view contents An Introduction to Computing with Neural Nets - R. P. Lippmann
open this document and view contents Occam's Razor - A. Blumer, A. Ehrenfeucht, D. Haussler and M. K. Warmuth
open this document and view contents Minimum Information Estimation of Structure - G. W. Hart
Mayopen this document and view contents Combining Cross-Validation and Search - C. J. C. H. Watkins
open this document and view contents Induction in Noisy Domains - P. Clark and T. Niblett
open this document and view contents Constructing Decision Trees in Noisy Domains - T. Niblett
open this document and view contents Assistant 86: A Knowledge-Elicitation Tool for Sophisticated Users - B I. K. Cestnik and I. Bratko
open this document and view contents Review of Five Empirical Learning Systems Within a Proposed Schemata - M. Gams and N. Lavrac
Juneopen this document and view contents Learning in a Layered Network with many Fixed-Function Hidden Nodes - N. Littlestone
open this document and view contents Bias, Version Spaces, and Valiant's Learning Framework - D. Haussler
open this document and view contents A New Approach to Unsupervised Learning in Deterministic Environments - R. L. Rivest and R. E. Schapire
open this document and view contents Recent Results on Boolean Concept Learning - M. Kearns, M. Li, L. Pitt and L. Valiant
open this document and view contents Learning by Experimentation - J. G. Carbonell and Y. Gil
Julyopen this document and view contents A Mechanism for Early Piagetian Learning - G. L. Drescher
open this document and view contents Complexity of Connectionist Learning with Various Node Functions - J. S. Judd
open this document and view contents A Physiological Basis for a Theory of Synapse Modification - M. F. Bear, L. N. Cooper and F. F. Ebner
Augustopen this document and view contents Learning k-term DNF Formulas using Queries and Counterexamples - D. Angluin
open this document and view contents Identification of Pattern Languages from Examples and Queries - A. Marron and K. Ko
open this document and view contents Learning k-Bounded Context-Free Grammars - D. Angluin
Septemberopen this document and view contents Convergence Results in the Hopfield Model - J. Kómlos and R. Paturi
open this document and view contents SOAR: An architecture for General Intelligence - J. E. Laird, A. Newell and P. S. Rosenbloom
Novemberopen this document and view contents Learning Regular Sets from Queries and Counterexamples - D. Angluin
Decemberopen this document and view contents Polynomially Sized Boolean Circuits are not Learnable - D. Beaver
open this document and view contents Learning propositional Horn sentences with hints - D. Angluin