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Inductive Logic Programming: 19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers: Lecture Notes in Computer Science, cartea 5989

Editat de Luc Raedt
en Limba Engleză Paperback – 7 iul 2010

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Specificații

ISBN-13: 9783642138393
ISBN-10: 364213839X
Pagini: 269
Ilustrații: XII, 257 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.41 kg
Ediția:2010
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Knowledge-Directed Theory Revision.- Towards Clausal Discovery for Stream Mining.- On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics.- Induction of Relational Algebra Expressions.- A Logic-Based Approach to Relation Extraction from Texts.- Discovering Rules by Meta-level Abduction.- Inductive Generalization of Analytically Learned Goal Hierarchies.- Ideal Downward Refinement in the Description Logic.- Nonmonotonic Onto-Relational Learning.- CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods.- Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals.- Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples.- ProGolem: A System Based on Relative Minimal Generalisation.- An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge.- Boosting First-Order Clauses for Large, Skewed Data Sets.- Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages.- Transfer Learning via Relational Templates.- Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data.- Finding Relational Associations in HIV Resistance Mutation Data.- ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries.- Parameter Screening and Optimisation for ILP Using Designed Experiments.- Don’t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models.- Policy Transfer via Markov Logic Networks.- Can ILP Be Applied to Large Datasets?.

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