ICML 1992

60 papers

A Framework for Discovering Discrete Event Models Ashvin Radiya, Jan M. Zytkow

A Practical Approach to Feature Selection Kenji Kira, Larry A. Rendell

A Symbolic Algorithm for Computing Coefficients' Accuracy in Regression Marjorie Moulet

A Teaching Method for Reinforcement Learning Jeffery A. Clouse, Paul E. Utgoff

AGIL: Solving the Exploration Versus Exploration Dilemma in a Single Classifier System Applied to Simulated Robotics Gilles Venturini

An Analysis of Learning to Plan as a Search Problem Jonathan Gratch, Gerald DeJong

An Approach to Anytime Learning John J. Grefenstette, Connie Loggia Ramsey

An Approach to Concept Learning Based on Term Generalization Zdravko Markov

An Asymptotic Analysis of Speedup Learning Oren Etzioni

Artificial Universes - Towards a Systematic Approach to Evaluation Algorithms Which Learn Form Examples Ray J. Hickey

Augmenting and Efficiently Utilizing Domain Theory in Explanation-Based Natural Language Acquisition Rey-Long Liu, Von-Wun Soo

Automatic Feature Generation for Problem Solving Systems Tom Fawcett, Paul E. Utgoff

Average Case Analysis of Learning Kappa-CNF Concepts Daniel S. Hirschberg, Michael J. Pazzani

Combining Competition and Cooperation in Supervised Inductive Learning Cezary Z. Janikow

Compression, Significance, and Accuracy Stephen H. Muggleton, Ashwin Srinivasan, Michael Bain

Conceptual Clustering with Systematic Missing Values Jerry B. Weinberg, Gautam Biswas, Glenn R. Koller

Constructive Induction Using a Non-Greedy Strategy for Feature Selection Arlindo L. Oliveira, Alberto L. Sangiovanni-Vincentelli

Cooperation in Knowledge Base Refinement Gheorghe Tecuci

Deconstructing the Digit Recognition Problem Cullen Schaffer

Detecting Novel Classes with Applications to Fault Diagnosis Padhraic Smyth, Jeff Mellstrom

Dynamic Optimization Philip Laird

DYNAMIC: A New Role for Training Problems in EBL M. Alicia Pérez, Oren Etzioni

Efficient Classification of Massive, Unsegmented Datastreams Lawrence Hunter, Nomi L. Harris, David J. States

Enhancing Transfer in Reinforcement Learning by Building Stochastic Models of Robot Actions Sridhar Mahadevan

Fuzzy Substructure Discovery Lawrence B. Holder, Diane J. Cook, Horst Bunke

Generalizing from Case Studies: A Case Study David W. Aha

Guiding Example Acquisition by Generating Scenarios Yves Niquil

Improving Path Planning with Learning Pang C. Chen

Induction of One-Level Decision Trees Wayne Iba, Pat Langley

Lazy Partial Evaluation: An Integration of Explanation-Based Generalization and Partial Evaluation Peter Clark, Robert C. Holte

Learning as Optimization: Stochastic Generation of Multiple Knowledge Igor Kononenko, Matevz Kovacic

Learning by Incomplete Explanation-Based Learning Neeraj Bhatnagar

Learning Episodes for Optimization David Ruby, Dennis F. Kibler

Learning Structured Concepts Using Genetic Algorithms Attilio Giordana, Claudio Sale

Learning to Fly Claude Sammut, Scott Hurst, Dana Kedzier, Donald Michie

Learning to Predict in Uncertain Continuous Tasks Alan D. Christiansen

Learning to Satisfy Conjunctive Goals Timothy M. Converse, Kristian J. Hammond

Measuring Utility and the Design of Provably Good EBL Algorithms Devika Subramanian, Scott B. Hunter

Multistrategy Learning with Introspective Meta-Explanations Michael T. Cox, Ashwin Ram

NFDT: A System That Learns Flexible Concepts Based on Decision Trees for Numerical Attributes Thierry Van de Merckt

On Combining Multiple Speedup Techniques Alberto Maria Segre

On Learning More Concepts Hussein Almuallim, Thomas G. Dietterich

Ordering Effects in Clustering Douglas H. Fisher, Ling Xu, Nazih Zard

Peepholing: Choosing Attributes Efficiently for Megainduction Jason Catlett

Refining a Relational Theory with Multiple Faults in the Concept and Subconcepts Somkiat Tangkitvanich, Masamichi Shimura

Scaling Reinforcement Learning Algorithms by Learning Variable Temporal Resolution Models Satinder P. Singh

Selecting Typical Instances in Instance-Based Learning Jianping Zhang

Spatial Analogy and Subsumption Darrell Conklin, Janice I. Glasgow

Sub-Unification: A Tool for Efficient Induction of Recursive Programs Stephane Lapointe, Stan Matwin

Temporal Difference Learning of Backgammon Strategy Gerald Tesauro

The First Phase of Real-World Discovery: Determining Repeatability and Error of Experiments Jan M. Zytkow, Jieming Zhu, Robert Zembowicz

The MENTLE Approach to Learning Heuristics for the Control of Logic Programs Elizabeth I. Hogger, Krysia Broda

The Principal Axes Method for Constructive Induction Jerzy W. Bala, Ryszard S. Michalski, Janusz Wnek

The Right Representation for Discovery: Finding the Conservation of Momentum Peter C.-H. Cheng, Herbert A. Simon

THOUGHT: An Integrated Learning System for Acquiring Knowledge Structure Chengjiang Mao

Towards Inductive Generalization in Higher Order Logic Cao Feng, Stephen H. Muggleton

Trading Off Consistency and Efficiency in Version-Space Induction Claudio Carpineto

Training Second-Order Recurrent Neural Networks Using Hints Christian W. Omlin, C. Lee Giles

Using Transitional Proximity for Faster Reinforcement Learning R. Andrew McCallum

Why EBL Produces Overly-Specific Knowledge: A Critique of the PRODIGY Approaches Oren Etzioni, Steven Minton