Knowledge Representation in Machine Learning

[1]  Douglas B. Lenat,et al.  Why AM and EURISKO Appear to Work , 1984, Artif. Intell..

[2]  Ryszard S. Michalski,et al.  Incremental Generation of VL1 Hypotheses: The Underlying Methodology and the Description of Program AQ11 , 1983 .

[3]  Dedre Gentner,et al.  Analogical Inference and Analogical Access. , 1987 .

[4]  Gary L. Bradshaw,et al.  Learning about speech sounds: The NEXUS Project , 1987 .

[5]  Kristian J. Hammond,et al.  CHEF: A Model of Case-Based Planning , 1986, AAAI.

[6]  Ehud Shapiro,et al.  Algorithmic Program Debugging , 1983 .

[7]  C. Sammut.  Logic Programs as a Basis for Machine Learning , 1988 .

[8]  Ryszard S. Michalski,et al.  The AQ15 Inductive Learning System: An Overview and Experiments , 1986 .

[9]  Gerald Jay Sussman,et al.  A Computer Model of Skill Acquisition , 1975 .

[10]  P. Winston.  Learning by Augmenting Rules and Accumulating Censors. , 1982 .

[11]  Victor R. Lesser,et al.  The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty , 1980, CSUR.

[12]  Christopher Riesbeck,et al.  Failure-Driven Reminding for Incremental Learning , 1981, IJCAI.

[13]  Alan Bundy,et al.  Explanation-Based Generalisation = Partial Evaluation , 1988, Artif. Intell..

[14]  K. VanLehn.  Learning a domain theory by completing explanations , 1986 .

[15]  David W. Aha,et al.  Learning Representative Exemplars of Concepts: An Initial Case Study , 1987 .

[16]  Steven Minton,et al.  Quantitative Results Concerning the Utility of Explanation-based Learning , 1988, Artif. Intell..

[17]  Gerald DeJong,et al.  Learning Schemata for Natural Language Processing , 1985, IJCAI.

[18]  Igor Mozetič.  THE ROLE OF ABSTRACTIONS IN LEARNING QUALITATIVE MODELS , 1987 .

[19]  Ray Bareiss,et al.  Protos: An Exemplar-Based Learning Apprentice , 1988, Int. J. Man Mach. Stud..

[20]  Alen D. Shapiro,et al.  Structured induction in expert systems , 1987 .

[21]  Steven Minton,et al.  Selectively Generalizing Plans for Problem-Solving , 1985, IJCAI.

[22]  Douglas B. Lenat,et al.  The Role of Heuristics in Learning by Discovery: Three Case Studies , 1983 .

[23]  Peter Clark,et al.  Representing Arguments as Background Knowledge for Constraining Gereralisation , 1988, EWSL.

[24]  Stuart J. Russell.  Tree-Structured Bias , 1988, AAAI.

[25]  Kurt Konolige.  A Deductive Model of Belief , 1983, IJCAI.

[26]  Brian Falkenhainer,et al.  Scientific Theory Formation Through Analogical Inference , 1987 .

[27]  Stuart J. Russell,et al.  A Logical Approach to Reasoning by Analogy , 1987, IJCAI.

[28]  Jon Doyle,et al.  A Truth Maintenance System , 1979, Artif. Intell..

[29]  Larry A. Rendell.  Learning Hard Concepts , 1988, EWSL.

[30]  Raymond Reiter,et al.  A Logic for Default Reasoning , 1987, Artif. Intell..

[31]  Roger C. Schank,et al.  SCRIPTS, PLANS, GOALS, AND UNDERSTANDING , 1988 .

[32]  Johan de Kleer,et al.  Choices Without Backtracking , 1984, AAAI.

[33]  Oren Etzioni,et al.  Acquiring Effective Search Control Rules: Explanation-Based Learning in the PRODIGY System , 1987 .

[34]  P. Hayes.  The Logic of Frames , 1981 .

[35]  Mark T. Keane,et al.  The Incremental Analogy Machine: A Computational Model of Analogy , 1988, EWSL.

[36]  Earl D. Sacerdoti,et al.  Planning in a Hierarchy of Abstraction Spaces , 1974, IJCAI.

[37]  Dedre Gentner,et al.  Structure-Mapping: A Theoretical Framework for Analogy , 1983, Cogn. Sci..

[38]  Marvin Minsky,et al.  A framework for representing knowledge , 1974 .

[39]  Robert J. Hall.  Learning by Failing to Explain , 1986, AAAI.

[40]  Stephen Muggleton,et al.  Machine Invention of First Order Predicates by Inverting Resolution , 1988, ML.

[41]  Ross D. King,et al.  An Inductive Learning Approach to the Problem of Predicting a Protein's Secondary Structure from Its Amino Acid Sequence , 1987, EWSL.

[42]  Brian Falkenhainer,et al.  The Structure-Mapping Engine * , 2003 .

[43]  J. R. Quinlan.  DECISION TREES AS PROBABILISTIC CLASSIFIERS , 1987 .

[44]  H. E. Pople,et al.  Internist-I, an Experimental Computer-Based Diagnostic Consultant for General Internal Medicine , 1982 .

[45]  Smadar T. Kedar-Cabelli,et al.  Explanation-Based Generalization as Resolution Theorem Proving , 1987 .

[46]  Benjamin N. Grosof,et al.  A Sketch of Autonomous Learning using Declarative Bias , 1990 .