ECML-PKDD 1997

33 papers

A Case Study in Loyality and Satisfaction Research Koen Vanhoof, Josée Bloemer, K. Pauwels

A Model for Generalization Based on Confirmatory Induction Nicolas Lachiche, Pierre Marquis

Case-Based Learning: Beyond Classification of Feature Vectors David W. Aha, Dietrich Wettschereck

Classification by Voting Feature Intervals Gülsen Demiröz, H. Altay Güvenir

Compression-Based Pruning of Decision Lists Bernhard Pfahringer

Conditions for Occam's Razor Applicability and Noise Elimination Dragan Gamberger, Nada Lavrac

Constructing and Sharing Perceptual Distiinctions Luc Stells

Constructing Intermediate Concepts by Decomposition of Real Functions Janez Demsar, Blaz Zupan, Marko Bohanec, Ivan Bratko

Empirical Learning of Natural Language Processing Task Walter Daelemans, Antal van den Bosch, Ton Weijters

Exploiting Qualitative Knoledge to Enhance Skill Acquisition Cristina Baroglio

Finite-Element Methods with Local Triangulation Refinement for Continuous Reimforcement Learning Problems Rémi Munos

Global Data Analysis and the Fragmentation Problem in Decision Tree Induction Ricardo Vilalta, Gunnar Blix, Larry A. Rendell

Human-Agent Interaction and Machine Learning Michael Kaiser, Volker Klingspor, Holger Friedrich

Ibots Learn Genuine Team Solutions Cristina Versino, Luca Maria Gambardella

Inducing and Using Decision Rules in the GRG Knowledge Discovery System Ning Shan, Howard J. Hamilton, Nick Cercone

Induction of Feature Terms with INDIE Eva Armengol, Enric Plaza

Inductive Genetic Programming with Decision Trees Nikolay I. Nikolaev, Vanio Slavov

Integrated Learning and Planning Based on Truncating Temporal Differences Pawel Cichosz

Learning and Exploitation Do Not Conflict Under Minimax Optimality Csaba Szepesvári

Learning Different Types of New Attributes by Combining the Neural Network and Iterative Attribute Construction Yuh-Jyh Hu

Learning in Dynamically Changing Domains: Theory Revision and Context Dependence Issues Charles C. Taylor, Gholamreza Nakhaeizadeh

Learning Linear Constraints in Inductive Logic Programming Lionel Martin, Christel Vrain

Learning When Negative Examples Abound Miroslav Kubat, Robert C. Holte, Stan Matwin

Metrics on Terms and Clauses Alan Hutchinson

Model Combination in the Multiple-Data-Batches Scenario Kai Ming Ting, Boon Toh Low

Natural Ideal Operators in Inductive Logic Programming Fabien Torre, Céline Rouveirol

NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks Rudy Setiono, Huan Liu

On Prediction by Data Compression Paul M. B. Vitányi, Ming Li

Parallel and Distributed Search for Structure in Multivariate Time Series Tim Oates, Matthew D. Schmill, Paul R. Cohen

Probabilistic Incremental Program Evolution: Stochastic Search Through Program Space Rafal Salustowicz, Jürgen Schmidhuber

Search-Based Class Discretization Luís Torgo, João Gama

Theta-Subsumption for Structural Matching Luc De Raedt, Peter Idestam-Almquist, Gunther Sablon

Uncertain Learning Agents (Abstract) Stuart Russell