Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4911)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (13 chapters)
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Front Matter
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Introduction
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Formalisms and Systems
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Back Matter
Keywords
- Bayesian networks
- Kernel
- algorithmic learning
- classifier systems
- clustering
- computational biology
- constraint logic programming
- genetic programming
- inductive logic programmi
- knowledge
- learning
- logic
- logic programming
- machine learning
- programming
- algorithm analysis and problem complexity
Bibliographic Information
Book Title: Probabilistic Inductive Logic Programming
Editors: Luc Raedt, Paolo Frasconi, Kristian Kersting, Stephen Muggleton
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-540-78652-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-78651-1Published: 14 March 2008
eBook ISBN: 978-3-540-78652-8Published: 26 February 2008
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VIII, 341
Topics: Artificial Intelligence, Programming Techniques, Formal Languages and Automata Theory, Algorithms, Data Mining and Knowledge Discovery, Computational and Systems Biology