Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3720)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
Conference series link(s): ECML: European Conference on Machine Learning
Conference proceedings info: ECML 2005.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (78 papers)
-
Front Matter
-
Invited Talks
-
Long Papers
About this book
Keywords
- Bayesian network
- Boosting
- Hidden Markov Model
- Markov decision process
- Support Vector Machine
- algorithmic learning
- association rule mining
- case-based learning
- classifier systems
- inductive inference
- k-Means
- knowledge discovery
- machine learning
- reinforcement learning
- statistical learning
- algorithm analysis and problem complexity
Editors and Affiliations
-
Faculty of Economics of the University of Porto, Portugal
João Gama
-
Faculdade de Engenharia & LIAAD, Universidade do Porto, Portugal
Rui Camacho
-
LIAAD-INESC Porto L.A./Faculty of Economics, University of Porto, Porto, Portugal
Pavel B. Brazdil
-
LIACC/FEP, Universidade do Porto, Portugal
Alípio Mário Jorge
-
LIAAD-INESC Porto LA / FEP, University of Porto, Porto, Portugal
Luís Torgo
Bibliographic Information
Book Title: Machine Learning: ECML 2005
Book Subtitle: 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings
Editors: João Gama, Rui Camacho, Pavel B. Brazdil, Alípio Mário Jorge, Luís Torgo
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/11564096
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2005
Softcover ISBN: 978-3-540-29243-2Published: 22 September 2005
eBook ISBN: 978-3-540-31692-3Published: 15 November 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XXIII, 769
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Mathematical Logic and Formal Languages, Database Management