• Skip to main content
  • Skip to primary sidebar
AAAI

AAAI

Association for the Advancement of Artificial Intelligence

    • AAAI

      AAAI

      Association for the Advancement of Artificial Intelligence

  • About AAAIAbout AAAI
    • AAAI Officers and Committees
    • AAAI Staff
    • Bylaws of AAAI
    • AAAI Awards
      • Fellows Program
      • Classic Paper Award
      • Dissertation Award
      • Distinguished Service Award
      • Allen Newell Award
      • Outstanding Paper Award
      • Award for Artificial Intelligence for the Benefit of Humanity
      • Feigenbaum Prize
      • Patrick Henry Winston Outstanding Educator Award
      • Engelmore Award
      • AAAI ISEF Awards
      • Senior Member Status
      • Conference Awards
    • AAAI Resources
    • AAAI Mailing Lists
    • Past AAAI Presidential Addresses
    • Presidential Panel on Long-Term AI Futures
    • Past AAAI Policy Reports
      • A Report to ARPA on Twenty-First Century Intelligent Systems
      • The Role of Intelligent Systems in the National Information Infrastructure
    • AAAI Logos
    • News
  • aaai-icon_ethics-diversity-line-yellowEthics & Diversity
  • Conference talk bubbleConferences & Symposia
    • AAAI Conference
    • AIES AAAI/ACM
    • AIIDE
    • IAAI
    • ICWSM
    • HCOMP
    • Spring Symposia
    • Summer Symposia
    • Fall Symposia
    • Code of Conduct for Conferences and Events
  • PublicationsPublications
    • AAAI Press
    • AI Magazine
    • Conference Proceedings
    • AAAI Publication Policies & Guidelines
    • Request to Reproduce Copyrighted Materials
  • aaai-icon_ai-magazine-line-yellowAI Magazine
    • Issues and Articles
    • Author Guidelines
    • Editorial Focus
  • MembershipMembership
    • Member Login
    • Developing Country List
    • AAAI Chapter Program

  • Career CenterCareer Center
  • aaai-icon_ai-topics-line-yellowAITopics
  • aaai-icon_contact-line-yellowContact

Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 8 /

Machine Learning

Inductive Learning

  • Refinement of Approximate Domain Theories by Knowledge-Based Neural Networks

    Geoffrey G. Towell, Jude W. Shavlik, Michiel O. Noordewier

    861

    PDF
  • On Analytical and Similarity-Based Classification

    Marc Vilain, Phyllis Koton, Melissa P. Chase

    867

    PDF
  • Effective Generalization of Relational Descriptions

    Larry Watanabe and Larry Rendell

    875

    PDF
  • Explaining Temporal Differences to Create Useful Concepts for Evaluating States

    Richard C. Yee, Sharad Saxena, Paul E. Utgoff, Andrew G. Barto

    882

    PDF
  • Myths and Legends in Learning Classification Rules

    Wray Buntine

    736

    PDF
  • Learning from Textbook Knowledge: A Case Study

    William W. Cohen

    743

    PDF
  • What Should Be Minimized in a Decision Tree?

    Usama M. Fayyad, Keki B. Irani

    749

    PDF
  • Generalization with Taxonomic Information

    Alan M. Frisch, C. David Page Jr.

    755

    PDF
  • Constructor: A System for the Induction of Probabilistic Models

    Robert M. Fung, Stuart L. Crawford

    762

    PDF
  • Learning Causal Trees from Dependence Information

    Dan Geiger, Azaria Paz, Judea Pearl

    770

    PDF
  • Theory Reduction, Theory Revision, and Retranslation

    Allen Ginsberg

    777

    PDF
  • Empirical Studies on the Speed of Convergence of Neural Network Training Using Genetic Algorithms

    Hiroaki Kitano

    789

    PDF
  • Learning to Coordinate Behaviors

    Pattie Maes, Rodney A. Brooks

    796

    PDF
  • Adding Domain Knowledge to SBL Through Feature Construction

    Christopher John Matheus

    803

    PDF
  • Inductive Learning in Probabilistic Domain

    Yoichiro Nakakuki, Yoshiyuki Koseki, Midori Tanaka

    809

    PDF
  • Changing the Rules: A Comprehensive Approach to Theory Refinement

    Dirk Ourston, Raymond J. Mooney

    815

    PDF
  • Knowledge Level and Inductive Uses of Chunking (EBL)

    Paul S. Rosenbloom, Jans Aasman

    821

    PDF
  • A Proven Domain-Independent Scientific Function-Finding Algorithm

    Cullen Schaffer

    828

    PDF
  • Complementary Discrimination Learning: A Duality Between Generalization and Discrimination

    Wei-Min Shen

    834

    PDF
  • Incremental Non-Backtracking Focusing: A Polynomially Bounded Generalization Algorithm for Version Spaces

    Benjamin D. Smith, Paul S. Rosenbloom

    848

    PDF
  • Two Case Studies in Cost-Sensitive Concept Acquisition

    Ming Tan, Jeffrey C. Schlimmer

    854

    PDF
  • Inductive Learning in a Mixed Paradigm Setting

    David B. Skalak, Edwina E. Rissland

    PDF
  • A Hybrid Connectionist, Symbolic Learning System

    Allen Lawrence O. Hall, Steve G. Romaniuk

    PDF
  • Automated Discovery in a Chemistry Laboratory

    Jan M. Zytkow, Jieming Zhu, Abul Hussam

    PDF

Learning and Problem Solving

  • Adaptive Search by Explanation-Based Learning of Heuristic Censors

    Neeraj Bhatnagar, Jack Mostow

    895

    PDF
  • Empirical Comparisons of Some Design Replay Algorithms

    Brad Blumenthal

    902

    PDF
  • Learning Search Control for Constraint-Based Scheduling

    Megan Eskey and Monte Zweben

    908

    PDF
  • Why PRODIGY/EBL Works

    Oren Etzioni

    916

    PDF
  • Learning Abstraction Hierarchies for Problem Solving

    Craig A. Knoblock

    923

    PDF
  • Extending EBG to Term-Rewriting Systems

    Philip Laird, Evan Gamble

    929

    PDF
  • Operationality Criteria for Recursive Predicates

    Stanley Letovsky

    936

    PDF
  • The Utility of EBL in Recursive Domain Theories

    Devika Subramanian and Ronen Feldman

    942

    PDF

Primary Sidebar