![](https://media.springernature.com/w215h120/springer-static/image/art%3A10.1140%2Fepjs%2Fs11734-021-00209-7/MediaObjects/11734_2021_209_Figa_HTML.png)
Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2167)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.
Similar content being viewed by others
Keywords
Table of contents (55 papers)
-
Regular Papers
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning: ECML 2001
Book Subtitle: 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001. Proceedings
Editors: Luc Raedt, Peter Flach
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-44795-4
Publisher: Springer Berlin, Heidelberg
-
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2001
Softcover ISBN: 978-3-540-42536-6Published: 23 August 2001
eBook ISBN: 978-3-540-44795-5Published: 30 June 2003
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVII, 620
Topics: Artificial Intelligence, Programming Techniques, Algorithm Analysis and Problem Complexity, Mathematical Logic and Formal Languages