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Association for the Advancement of Artificial Intelligence

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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 7 /

Learning and Knowledge Acquisition

Learning

  • Simulation-Assisted Inductive Learning

    Bruce G. Buchanan, John Sullivan, Tze-Pin Cheng, Scott H. Clearwater

    552

    PDF
  • The Automatic Acquisition of Proof Methods

    Kurt Ammon

    558

    PDF
  • The Utility of Difference-Based Reasoning

    Brian Falkenhainer

    530

    PDF
  • Learning from Opportunities: Storing and Re-using Execution-Time Optimizations

    Krlstian Hammond, Tim Converse, Mitchell Marks

    536

    PDF
  • Parsing to Learn Fine Grained Rules

    Subrata Roy, Jack Mostow

    547

    PDF
  • Explanation-Based Indexing of Cases

    Ralph Barletta, William Mark

    PDF

Analytic Learning

  • Knowledge-Base Reduction: A New Approach to Checking Knowledge Bases for Inconsistency and Redundancy

    Allen Ginsberg

    585

    PDF
  • Theory Revision via Prior Operationalization

    Allen Ginsberg

    590

    PDF
  • Quantitative Results Concerning the Utility of Explanation-Based Learning

    Steven Minton

    564

    PDF
  • Approximate Theory Formation: An Explanation-Based Approach

    Thomas Ellman

    570

    PDF
  • IMEX: Overcoming Intractability in Explanation Based Learning

    Michael S. Braverman, Stuart J. Russell

    575

    PDF
  • Some Philosophical Problems with Formal Learning Theory

    Jonathan Amsterdam

    580

    PDF

Empirical Learning

  • Credit Assignment in Genetic Learning Systems

    John J. Grefenstette

    596

    PDF
  • Perceptron Trees: A Case Study in Hybrid Concept Representations

    Paul E. Utgoff

    601

    PDF
  • Bayesian Classification

    Peter Cheeseman, Matthew Self, Jim Kelly, Will Taylor, Don Freeman

    607

    PDF
  • Combining Symbolic Learning Techniques and Statistical Regression Analysis

    Carlo Berzuini

    612

    PDF
  • Recovery from Incorrect Knowledge in Soar

    John Laird

    618

    PDF

Formal Results in Learning

  • Inferring Probabilistic Theories from Data

    Edwin P. D. Pednault

    624

    PDF
  • Functionality in Neural Nets

    L. G. Valiant

    629

    PDF
  • Learning Complicated Concepts Reliably and Usefully

    Ronald L. Rivest, Robert Sloan

    635

    PDF
  • Tree-Structured Bias

    Stuart J. Russell

    641

    PDF

Knowledge Acquisition

  • Knowledge Base Refinement Using Apprenticeship Learning Techniques

    David C. Wilkins

    646

    PDF

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