Probabilistic Inductive Logic Programming

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: De Raedt, Luc (Editor ), Frasconi, Paolo (Editor ), Kersting, Kristian (Editor ), Muggleton, Stephen H. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Artificial Intelligence, 4911
Temas:
Artificial intelligence.
Computer programming.
Machine theory.
Algorithms.
Data mining.
Bioinformatics.
Artificial Intelligence.
Programming Techniques.
Formal Languages and Automata Theory.
Data Mining and Knowledge Discovery.
Computational and Systems Biology.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares