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Home / Proceedings / Third International Conference on Multistrategy Learning /

Book One

Contents

  • Index

    David Hamilton

    PDF
  • Decision Combination based on the Characterisation of Predictive Accuracy

    Kai Ming Ting

    PDF
  • A Multistrategy Learning System for Planning Operator Acquisition

    Xuemei Wang

    PDF
  • On-line Metalearning in Changing Contexts: METAL(B) and METAL(IB)

    Gerhard Widmer

    PDF
  • Learning Weighted Prototypes using Genetic Algorithms

    Jianping Zhang and Qiu Fan

    PDF
  • Revising User Profiles: The Search for Interesting Web Sites

    Daniel Billsus and Michael Pazzani

    PDF
  • Cam-Brain ATR’s Billion Neuron Artificial Brain Project

    Hugo de Garis

    PDF
  • Integrating EBL and ILP to Acquire Control Rules for Planning*

    Tara A. Estlin and Raymond J. Mooney

    PDF
  • Forecasting of Options in the Car Industry Using a Multistrategy Approach

    Stefan Ohl

    PDF
  • How to Predict It: Inductive Prediction by Analogy Using Taxonomic Information

    Takashi lshikawa, Takao Terano

    PDF
  • Addressing Knowledge Discovery Problems in a Multistrategy Framework

    Kenneth A. Kaufman

    PDF
  • Automated Extraction of Expert System Rules from Databases based on Rough Set Theory

    Shusaku Tsumoto and Hiroshi Tanaka

    PDF
  • Comparative Analysis of Amino-acid Sequences Based on Rough Set Theory and Change of Representation

    Shusaku Tsumoto and Hiroshi Tanaka

    PDF
  • Application of Multistrategy Learning in Finance

    M. Westphal and G. Nakhaeizadeh

    PDF
  • Sponsoring Organizlations

    Ryszard S. Michalski

    PDF
  • Inductive Logic Programming + Stochastic Bias = Polynomial Approximate Learning

    Michele Sebag, Celine Rouveirol, Jean-Francois Puget

    PDF
  • Theory Restructuring: Coarse-grained Integration of Strategies for Induction and Maintenance of Knowledge Bases

    Edgar Sommer

    PDF
  • Coevolution Learning: Synergistic Evolution of Learning Agents and Problem Representations

    Lawrence Hunter

    PDF
  • Multistrategy Learning: When, How and Why

    Lorenza Saitta

    PDF
  • Using Background Knowledge to Build Multistrategy Learners

    Claude Sammut

    PDF
  • A Multistrategy Approach to Relational Knowledge Discovery in Databases

    Katharina Morik and Peter Brockhausen

    PDF
  • Induction in Logic

    Luc De Raedt

    PDF
  • Induction as Knowledge Integration

    Benjamin D. Smith, Paul S. Rosenbloom

    PDF
  • Fusing the Results of Diverse Algorithms

    John F. Elder

    PDF
  • Learning Synthesis Schemes in Intelligent Systems

    Lech Polkowski, Andrzej Skowron

    PDF
  • The Basic Level and Privilege in Relation to Goals, Theories, and Similarity

    Douglas L. Medin, Elizabeth B. Lynch, John D. Coley, Scott Atran

    PDF
  • Preface

    Ryszard S. Michalski

    PDF
  • A Comparison of Action Selection Learning Methods

    Diana F. Gordon, Devika Subramanian

    PDF
  • A Cognitive Modeling Approach to Learning of Ill-defined Categories

    Mukesh Rohatgi

    PDF
  • Multistrategy Task-adaptive Learning Using Dynamically Interlaced Hierarchies: A Methodology and Initial Implementation of INTERLACE

    Nabil W. Alkharouf and Ryszard S. Michalski

    PDF
  • Combining Symbolic and Numeric Methods for Learning to Predict Temporal Series

    M. Botta and A. Giordana

    PDF
  • An Empirical Study of Computational Introspection: Evaluating Introspective Multistrategy Learning in the Meta-AQUA System

    Michael T. Cox

    PDF
  • From Instances to Rules: A Comparison of Biases

    Pedro Domingos

    PDF
  • Multistrategy Learning to Apply Cases for Case-Based Reasoning

    David B. Leake, Andrew Kinley, David Wilson

    PDF

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