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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Nedellec, Claire (Editor, http://id.loc.gov/vocabulary/relators/edt), Rouveirol, Celine (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.
• Edition: 1st ed. 1998.
• Series: Lecture Notes in Artificial Intelligence ; 1398
• Subjects: Artificial intelligence.; Algorithms.; Artificial Intelligence.; Algorithm Analysis and Problem Complexity.

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...

Table of Contents:

• 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 - Learning when 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
• A general convergence method for Reinforcement Learning in the continuous case
• Interpretable neural networks with BP-SOM
• Convergence rate of minimization learning for neural networks.