TY  - BOOK
AU  - Raedt,Luc
AU  - Frasconi,Paolo
AU  - Kersting,Kristian
AU  - Muggleton,Stephen
ED  - SpringerLink (Online service)
TI  - Probabilistic Inductive Logic Programming: Theory and Applications 
T2  - Lecture Notes in Computer Science,
SN  - 9783540786528
AV  - Q334-342 
U1  - 006.3 23
PY  - 2008///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Computer software
KW  - Data mining
KW  - Artificial intelligence
KW  - Bioinformatics
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Programming Techniques
KW  - Mathematical Logic and Formal Languages
KW  - Algorithm Analysis and Problem Complexity
KW  - Data Mining and Knowledge Discovery
KW  - Computational Biology/Bioinformatics
N1  - 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
UR  - http://dx.doi.org/10.1007/978-3-540-78652-8
ER  -