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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
1986open this document and view contents Aggregating Inductive Expertise - Daniel N. Osherson, Michael Stob and Scott Weinstein
open this document and view contents Machine Learning of Nearly Minimal Size Grammars - J. Case and H. Chi
open this document and view contents Learning Concepts by Asking Questions - C. Sammut and R. Banerji
open this document and view contents Understanding the Nature of Learning: Issues and Research Directions - R. M. Michalski
open this document and view contents Stochastic Complexity and Sufficient Statistics - J. Rissanen
open this document and view contents Probability and Measure - Patrick Billingsley
open this document and view contents Experimental Goal Regression: A Method for Learning Problem-Solving Heuristics - Bruce W. Porter and Dennis F. Kibler
open this document and view contents A General Framework for Parallel Distributed Processing - D. E. Rumelhart, G. E. Hinton and J. L. McClelland
open this document and view contents On the Inference of Programs Approximately Computing the Desired Function - C. Smith and M. Velauthapillai
open this document and view contents A Framework for Empirical Discovery - P. Langley and B. Nordhausen
open this document and view contents Learning Distributed Representations of Concepts - G. E. Hinton
open this document and view contents Stochastic Relaxation Methods for Image Restoration and Expert Systems - S. Geman
open this document and view contents On the Complexity of Effective Program Synthesis - R. Wiehagen
open this document and view contents Reasoning by Analogy as a Partial Identity between Models - Makoto Haraguchi and Setsuo Arikawa
open this document and view contents On Barzdin's Conjecture - Thomas Zeugmann
open this document and view contents On Machine Learning - Pat Langley
open this document and view contents Learning Representations By Back-Propagating Errors - D. E. Rumelhart, G. E. Hinton and R. J. Williams
open this document and view contents Using telltales in developing program test sets - J. Cherniavsky and C. Smith
open this document and view contents Explanation-Based Learning: An Alternative View - Gerald Dejong and Raymond Mooney
open this document and view contents On the Inductive Inference of Programs with Anomalies - M. Velauthapillai
open this document and view contents Inductive Inference Hierarchies: Probabilistic vs Pluralistic - R. P. Daley
open this document and view contents An Analysis of a Learning Paradigm - D. Osherson, M. Stob and S. Weinstein
open this document and view contents Inductive inference by refinement - P. Laird
open this document and view contents Identification in the Limit of First Order Structures - D. N. Osherson and S. Weinstein
open this document and view contents Studies on Inductive Inference from Positive Data - T. Shinohara
open this document and view contents The Disjunctive Learning Problem - M. Fulk
open this document and view contents Machine Learning of Inductive Bias - P. E. Utgoff
open this document and view contents Distributional Expectations and the Induction of Category Structure - M. J. Flannagan, L. S. Fried and K. J. Holyoak
open this document and view contents Machine Learning and Discovery - Pat Langley and Ryszard S. Michalski
open this document and view contents Inductive Inference of Functions From Noised Observations - J. Grabowski
open this document and view contents A Theory and Methodology of Inductive Inference - R. S. Michalski
open this document and view contents A General Framework for Induction and a Study of Selective Induction - Larry Rendell
open this document and view contents Parallel Distributed Processing - Explorations in the Microstructure of Cognition - David E. Rumelhart, James L. McClelland and the PDP Research Group
open this document and view contents An Algebraic Framework for Inductive Program Synthesis - K. P. Jantke
open this document and view contents Some Problems on Inductive Inference from Positive Data - T. Shinohara
open this document and view contents Learning Internal Representations by Error Propagation - D. E. Rumelhart, G. E. Hinton and R. J. Williams
open this document and view contents Machine Learning: An Artificial Intelligence Approach - Ryszard S. Michalski and Jaime G. Carbonell and Tom M. Mitchell
open this document and view contents Determining Arguments of Invariant Functional Descriptions - Mieczyslaw M. Kokar
open this document and view contents Learning from positive-only examples - R. Berwick
open this document and view contents On the Inference of Sequences of Functions - W. I. Gasarch and C. H. Smith
open this document and view contents Chemical Discovery as Belief Revision - Donald Rose and Pat Langley
open this document and view contents Systems that Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists - D. N. Osherson, M. Stob and S. Weinstein
open this document and view contents Integrating Quantitative and Qualitative Discovery: The ABACUS System - Brian C. Falkenhainer and Ryszard S. Michalski
open this document and view contents Learning Machines - J. Case
open this document and view contents Editorial: The Terminology of Machine Learning - Pat Langley
open this document and view contents Inductive Inference of approximations - James S. Royer
open this document and view contents Some Results in the Theory of Effective Program Synthesis - Learning by Defective Information - G. Schäfer-Richter
open this document and view contents A General Theory of Discrimination Learning - P. Langley
open this document and view contents Editorial: Human and Machine Learning - Pat Langley
open this document and view contents Learning at the Knowledge Level - Thomas G. Dietterich
open this document and view contents Induction of Decision Trees - J. R. Quinlan
open this document and view contents On the Complexity of Program Synthesis from Examples - R. Wiehagen
open this document and view contents On the Complexity of Inductive Inference - Robert P. Daley and Carl H. Smith
open this document and view contents Linear Function Neurons: Structure and Training - S. E. Hampson and D. J. Volper
open this document and view contents Stochastic Complexity and Modeling - J. Rissanen
open this document and view contents Explanation-Based Generalization: A Unifying View - Tom M. Mitchell, Richard M. Keller and Smadar T. Kedar-Cabelli
open this document and view contents The Effect of Noise on Concept Learning - J. R. Quinlan
open this document and view contents Towards the Development of an Analysis of Learning Algorithms - R. P. Daley
open this document and view contents Chunking in Soar: The Anatomy of a General Learning Mechanism - John E. Laird, Paul S. Rosenbloom and Allen Newell
open this document and view contents Stratified Inductive Hypothesis Generation - Zs. Szabó
open this document and view contents Parallel Distributed Processing (Volume I: Foundations) - D. E. Rumelhart and J. L. McClelland
open this document and view contents How Fast is Program Synthesis from Examples - R. Wiehagen
open this document and view contents Incremental Learning from Noisy Data - Jeffrey C. Schlimmer and Jr. Richard H. Granger
open this document and view contents A Theory of Historical Discovery: The Construction of Componential Models - Jan M. Zytkow and Herbert A. Simon
Januaryopen this document and view contents An Introduction to Hidden Markov Models - L. R. Rabiner and B. H. Juang
Februaryopen this document and view contents Genetic AI-Translating Piaget into Lisp - G. L. Drescher
Mayopen this document and view contents CONSENSUS: A Statistical Learning Procedure in a Connectionist Network - G. J. Goetsch
open this document and view contents On the Logic of Representing Dependencies by Graphs - J. Pearl and A. Paz
Juneopen this document and view contents A Lemma on the Multiarmed Bandit Problem - J. N. Tsitsiklis
open this document and view contents Types of queries for concept learning - D. Angluin