Machine Learning: ECML-98 10th European Conference on Machine Learning, Chemnitz, Germany, April 21-23, 1998, Proceedings

This book constitutes the refereed proceedings of the 10th European Conference on Machine Learning, ECML-98, held in Chemnitz, Germany, in April 1998. The book presents 21 revised full papers and 25 short papers reporting on work in progress together with two invited contributions; the papers were s...

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Bibliographic Details
Other Authors: Nedellec, Claire (Editor), Rouveirol, Celine (Editor)
Format: eBook
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1998, 1998
Edition:1st ed. 1998
Series:Lecture Notes in Artificial Intelligence
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • A general convergence method for Reinforcement Learning in the continuous case
  • Interpretable neural networks with BP-SOM
  • Convergence rate ofminimization learning for neural networks
  • Learning in agent-oriented worlds
  • Naive (Bayes) at forty: The independence assumption in information retrieval
  • Learning verbal transitivity using loglinear models
  • Part-of-speech tagging using decision trees
  • Inference of finite automata: Reducing the search space with an ordering of pairs of states
  • Automatic acquisition of lexical knowledge from sparse and noisy data
  • A normalization method for contextual data: Experience from a large-scale application
  • Learning to classify x-ray images using relational learning
  • ILP experiments in detecting traffic problems
  • Simulating children learning and explaining elementary heat transfer phenomena: A multistrategy system at work
  • Bayes optimal instance-based learning
  • Bayesian and information-theoretic priors for Bayesian network parameters
  • Feature subset selection in text-learning
  • A monotonic measure for optimal feature selection
  • Inducing models of human control skills
  • God doesn't always shave with Occam's razor — Learningwhen and how to prune
  • Error estimators for pruning regression trees
  • Pruning decision trees with misclassification costs
  • Text categorization with Support Vector Machines: Learning with many relevant features
  • A short note about the application of polynomial kernels with fractional degree in Support Vector Learning
  • Classification learning using all rules
  • Improved pairwise coupling classification with correcting classifiers
  • Experiments on solving multiclass learning problems by n 2-classifier
  • Combining classifiers by constructive induction
  • Boosting trees for cost-sensitive classifications
  • Naive bayesian classifier committees
  • Batch classifications with discrete finite mixtures
  • Induction of recursive program schemes
  • Predicate invention and learning from positive examples only
  • An inductive logic programming framework to learn a concept from ambiguous examples
  • First-order learning for Web mining
  • Explanation-based generalization in game playing: Quantitative results
  • Scope classification: An instance-based learning algorithm with a rule-based characterisation
  • Error-correcting output codes for local learners
  • Recursive lazy learning for modeling and control
  • Using lattice-based framework as a tool for feature extraction
  • Determining property relevance in concept formation by computing correlation between properties
  • A buffering strategy to avoid ordering effects in clustering
  • Coevolutionary, distributed search for inducing concept descriptions
  • Continuous mimetic evolution
  • A host-parasite genetic algorithm for asymmetric tasks
  • Speeding up Q(?)-learning
  • Q-learning and redundancy reduction in classifier systems with internal state
  • Composing functions to speed up reinforcement learning in a changing world
  • Theoretical results on reinforcement learning with temporally abstract options