ECML-PKDD 1998

48 papers

A Buffering Strategy to Avoid Ordering Effects in Clustering Luis Talavera, Josep Roure

A General Convergence Method for Reinforcement Learning in the Continuous Case Rémi Munos

A Host-Parasite Genetic Algorithm for Asymmetric Tasks Björn Olsson

A Monotonic Measure for Optimal Feature Selection Huan Liu, Hiroshi Motoda, Manoranjan Dash

A Normalization Method for Contextual Data: Experience from a Large-Scale Application Sylvain Létourneau, Stan Matwin, Fazel Famili

A Short Note About the Application of Polynomial Kernels with Fractional Degree in Support Vector Learning Rolf Rossius, Gérard Zenker, Andreas Ittner, Werner Dilger

An Inductive Logic Programming Framework to Learn a Concept from Ambiguous Examples Dominique Bouthinon, Henry Soldano

Automatic Acquisition of Lexical Knowledge from Sparse and Noisy Data René Schneider

Batch Classification with Discrete Finite Mixtures Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Bayes Optimal Instance-Based Learning Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri

Bayesian and Information-Theories Priors for Bayesian Network Parameters Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald

Boosting Trees for Cost-Sensitive Classifications Kai Ming Ting, Zijian Zheng

Classification Learning Using All Rules Murlikrishna Viswanathan, Geoffrey I. Webb

Coevolutionary, Distributed Search for Inducing Concept Description Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta

Combining Classifiers by Constructive Induction João Gama

Composing Functions to Speed up Reinforcement Learning in a Changing World Chris Drummond

Continuous Mimetic Evolution Antoine Ducoulombier, Michèle Sebag

Convergence Rate of Minimization Learning for Neural Networks Marghny H. Mohamed, Teruya Minamoto, Koichi Niijima

Determining Property Relevance in Concept Formation by Computing Correlation Between Properties João José Furtado Vasco

Error Estimators for Pruning Regression Trees Luís Torgo

Error-Correcting Output Codes for Local Learners Francesco Ricci, David W. Aha

Experiments on Solving Multiclass Learning Problems by N2-Classifier Jacek Jelonek, Jerzy Stefanowski

Explanation-Based Generalization in Game Playing: Quantitative Results Stefan Schrödl

Feature Subset Selection in Text-Learning Dunja Mladenic

First-Order Learning for Web Mining Mark Craven, Seán Slattery, Kamal Nigam

God Doesn't Always Shave with Occam's Razor - Learning When and How to Prune Hilan Bensusan

ILP Experiments in Detecting Traffic Problems Saso Dzeroski, Nico Jacobs, Martín Molina, Carlos Moure

Improved Pairwise Coupling Classification with Correcting Classifiers Miguel Moreira, Eddy Mayoraz

Inducing Models of Human Control Skills Rui Camacho

Induction of Recursive Program Schemes Ute Schmid, Fritz Wysotzki

Inference of Finite Automata: Reducing the Search Space with an Ordering of Pairs of States François Coste, Jacques Nicolas

Interpretable Neural Networks with BP-SOM Ton Weijters, Antal van den Bosch, H. Jaap van den Herik

Learning in Agent-Oriented Worlds (Abstract) Kenneth A. De Jong

Learning to Classify X-Ray Images Using Relational Learning Claude Sammut, Tatjana Zrimec

Learning Verbal Transitivity Using LogLinear Models Nuno Miguel Marques, José Gabriel Pereira Lopes, Carlos Agra Coelho

Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval David D. Lewis

Naive Bayesian Classifier Committees Zijian Zheng

Part-of-Speech Tagging Using Decision Trees Lluís Màrquez, Horacio Rodríguez

Predicate Invention and Learning from Positive Examples Only Henrik Boström

Pruning Decision Trees with Misclassification Costs Jeffrey P. Bradford, Clayton Kunz, Ron Kohavi, Clifford Brunk, Carla E. Brodley

Q-Learning and Redundancy Reduction in Classifier Systems with Internal State Antonella Giani, Andrea Sticca, Fabrizio Baiardi, Antonina Starita

Recursive Lazy Learning for Modeling and Control Gianluca Bontempi, Mauro Birattari, Hugues Bersini

Scope Classification: An Instance-Based Learning Algorithm with a Rule-Based Characterisation Nicolas Lachiche, Pierre Marquis

Simulating Children Learning and Explaining Elementary Heat Transfer Phenomena: A Multistrategy System at Work Filippo Neri

Speeding up Q(lambda)-Learning Marco A. Wiering, Jürgen Schmidhuber

Text Categorization with Support Vector Machines: Learning with Many Relevant Features Thorsten Joachims

Theoretical Results on Reinforcement Learning with Temporally Abstract Options Doina Precup, Richard S. Sutton, Satinder Singh

Using Lattice-Based Framework as a Tool for Feature Extraction Engelbert Mephu Nguifo, Patrick Njiwoua