Inductive Logic Programming 24th International Conference, ILP 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers /

This book constitutes the thoroughly refereed post-conference proceedings of the 24th International Conference on Inductive Logic Programming, ILP 2014, held in Nancy, France, in September 2014. The 14 revised papers presented were carefully reviewed and selected from 41 submissions. The papers focu...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Davis, Jesse (Editor ), Ramon, Jan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Lecture Notes in Artificial Intelligence, 9046
Temas:
Machine theory.
Artificial intelligence.
Computer programming.
Application software.
Computer science.
Formal Languages and Automata Theory.
Artificial Intelligence.
Programming Techniques.
Computer and Information Systems Applications.
Computer Science Logic and Foundations of Programming.
Theory of Computation.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Reframing on Relational Data
  • Inductive Learning using Constraint-driven Bias
  • Nonmonotonic Learning in Large Biological Networks
  • Construction of Complex Aggregates with Random Restart Hill-Climbing
  • Logical minimisation of meta-rules within Meta-Interpretive Learning
  • Goal and plan recognition via parse trees using prefix and infix probability computation
  • Effectively creating weakly labeled training examples via approximate domain knowledge
  • Learning Prime Implicant Conditions From Interpretation Transition
  • Statistical Relational Learning for Handwriting Recognition
  • The Most Probable Explanation for Probabilistic Logic Programs with Annotated Disjunctions
  • Towards machine learning of predictive models from ecological data
  • PageRank, ProPPR, and Stochastic Logic Programs
  • Complex aggregates over clusters of elements
  • On the Complexity of Frequent Subtree Mining in Very Simple Structures.

Ejemplares similares