Probabilistic Inductive Logic Programming [electronic resource] /
edited by Luc De Raedt, Paolo Frasconi, Kristian Kersting, Stephen H. Muggleton.
- 1st ed. 2008.
- VIII, 341 p. online resource.
- Lecture Notes in Artificial Intelligence, 4911 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 4911 .
Probabilistic Inductive Logic Programming -- Formalisms and Systems -- Relational Sequence Learning -- Learning with Kernels and Logical Representations -- Markov Logic -- New Advances in Logic-Based Probabilistic Modeling by PRISM -- CLP( ): Constraint Logic Programming for Probabilistic Knowledge -- Basic Principles of Learning Bayesian Logic Programs -- The Independent Choice Logic and Beyond -- Applications -- Protein Fold Discovery Using Stochastic Logic Programs -- Probabilistic Logic Learning from Haplotype Data -- Model Revision from Temporal Logic Properties in Computational Systems Biology -- Theory -- A Behavioral Comparison of Some Probabilistic Logic Models -- Model-Theoretic Expressivity Analysis.
9783540786528
10.1007/978-3-540-78652-8 doi
Artificial intelligence.
Computer programming.
Machine theory.
Algorithms.
Data mining.
Bioinformatics.
Artificial Intelligence.
Programming Techniques.
Formal Languages and Automata Theory.
Algorithms.
Data Mining and Knowledge Discovery.
Computational and Systems Biology.
Q334-342 TA347.A78
006.3
Probabilistic Inductive Logic Programming -- Formalisms and Systems -- Relational Sequence Learning -- Learning with Kernels and Logical Representations -- Markov Logic -- New Advances in Logic-Based Probabilistic Modeling by PRISM -- CLP( ): Constraint Logic Programming for Probabilistic Knowledge -- Basic Principles of Learning Bayesian Logic Programs -- The Independent Choice Logic and Beyond -- Applications -- Protein Fold Discovery Using Stochastic Logic Programs -- Probabilistic Logic Learning from Haplotype Data -- Model Revision from Temporal Logic Properties in Computational Systems Biology -- Theory -- A Behavioral Comparison of Some Probabilistic Logic Models -- Model-Theoretic Expressivity Analysis.
9783540786528
10.1007/978-3-540-78652-8 doi
Artificial intelligence.
Computer programming.
Machine theory.
Algorithms.
Data mining.
Bioinformatics.
Artificial Intelligence.
Programming Techniques.
Formal Languages and Automata Theory.
Algorithms.
Data Mining and Knowledge Discovery.
Computational and Systems Biology.
Q334-342 TA347.A78
006.3