Probabilistic Inductive Logic Programming Theory and Applications
by
Raedt, Luc. editor.
Title
:
Probabilistic Inductive Logic Programming Theory and Applications
Author
:
Raedt, Luc. editor.
ISBN
:
9783540786528
Physical Description
:
VIII, 341 p. online resource.
Series
:
Lecture Notes in Computer Science, 4911
Contents
:
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.
Subject Term
:
Computer science.
Computer software.
Data mining.
Artificial intelligence.
Bioinformatics.
Artificial Intelligence (incl. Robotics).
Programming Techniques.
Mathematical Logic and Formal Languages.
Algorithm Analysis and Problem Complexity.
Data Mining and Knowledge Discovery.
Computational Biology/Bioinformatics.
Added Author
:
Raedt, Luc.
Frasconi, Paolo.
Kersting, Kristian.
Muggleton, Stephen.
Added Corporate Author
:
SpringerLink (Online service)
Electronic Access
:
Library | Material Type | Item Barcode | Shelf Number | Status |
---|
IYTE Library | E-Book | 503409-1001 | Q334 -342 | Online Springer |