Machine Learning: ECML-95: 8th European Conference on Machine Learning Heraclion, Crete, Greece, April 25–27, 1995 Proceedings

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

This volume constitutes the proceedings of the Eighth European Conference on Machine Learning ECML-95, held in Heraclion, Crete in April 1995.
Besides four invited papers the volume presents revised versions of 14 long papers and 26 short papers selected from a total of 104 submissions. The papers address all current aspects in the area of machine learning; also logic programming, planning, reasoning, and algorithmic issues are touched upon.

Author(s): Jörg Gebhardt, Rudolf Kruse (auth.), Nada Lavrac, Stefan Wrobel (eds.)
Series: Lecture Notes in Computer Science 912 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1995

Language: English
Commentary: (add ocr)
Pages: 376
Tags: Artificial Intelligence (incl. Robotics); Algorithm Analysis and Problem Complexity

Reasoning and learning in probabilistic and possibilistic networks: An overview....Pages 1-16
Problem decomposition and the learning of skills....Pages 17-31
Machine learning in the world wide web....Pages 32-32
Abstract computer models: Towards a new method for theorizing about adaptive agents....Pages 33-52
Learning abstract planning cases....Pages 53-76
The role of prototypicality in exemplar-based learning....Pages 77-91
Specialization of recursive predicates....Pages 92-106
A distributed genetic algorithm improving the generalization behavior of neural networks....Pages 107-121
Learning non-monotonic logic programs: Learning exceptions....Pages 122-137
A comparative utility analysis of case-based reasoning and control-rule learning systems....Pages 138-150
A minimization approach to propositional inductive learning....Pages 151-160
On concept space and hypothesis space in case-based learning algorithms....Pages 161-173
The power of decision tables....Pages 174-189
Pruning multivariate decision trees by hyperplane merging....Pages 190-199
Multiple-Knowledge Representations in concept learning....Pages 200-217
The effect of numeric features on the scalability of inductive learning programs....Pages 218-231
Analogical logic program synthesis from examples....Pages 232-244
A guided tour through hypothesis spaces in ILP....Pages 245-259
JIGSAW: Puzzling together RUTH and SPECTRE (Extended abstract)....Pages 261-266
Discovery of constraints and data dependencies in relational databases (Extended abstract)....Pages 267-270
Learning disjunctive normal forms in a dual classifier system (Extended abstract)....Pages 271-274
The effects of noise on efficient incremental induction (Extended abstract)....Pages 275-278
Analysis of Rachmaninoff's piano performances using inductive logic programming (Extended abstract)....Pages 279-282
Handling real numbers in ILP: A step towards better behavioural clones (Extended abstract)....Pages 283-286
Simplifying decision trees by pruning and grafting: New results (Extended abstract)....Pages 287-290
A tight integration of pruning and learning (Extended abstract)....Pages 291-294
Decision-tree based neural network (Extended abstract)....Pages 295-298
Learning recursion with iterative bootstrap induction (Extended abstract)....Pages 299-302
Patching proofs for reuse (Extended abstract)....Pages 303-306
Adapting to drift in continuous domains (Extended abstract)....Pages 307-310
Parallel recombinative reinforcement learning (Extended abstract)....Pages 311-314
Learning to solve complex tasks for reactive systems (Extended abstract)....Pages 315-318
Co-operative Reinforcement Learning by payoff filters (Extended abstract)....Pages 319-322
Automatic synthesis of control programs by combination of learning and problem solving methods (Extended abstract)....Pages 323-326
Analytical learning guided by empirical technology: An approach to integration (Extended abstract)....Pages 327-330
A new MDL measure for robust rule induction (Extended abstract)....Pages 331-334
Class-driven statistical discretization of continuous attributes (Extended abstract)....Pages 335-338
Generating neural networks through the induction of threshold logic unit trees (Extended abstract)....Pages 339-342
Learning classification rules using lattices (Extended abstract)....Pages 343-346
Hybrid classification: Using axis-parallel and oblique subdivisions of the attribute space (Extended abstract)....Pages 347-350
An induction-based control for genetic algorithms (Extended abstract)....Pages 351-355
Fender: An approach to theory restructuring (extended abstract)....Pages 356-359
Language series revisited: The complexity of hypothesis spaces in ILP (Extended abstract)....Pages 360-363
Prototype, nearest neighbor and hybrid algorithms for time series classification (Extended abstract)....Pages 364-367