Inductive Logic Programming [electronic resource] : 19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers /
ILP 2009(2009 :Louvain, Belgium)
ILP (Conference)(19th :2009 :Louvain, Belgium)
ILP (Conference)
Raedt, Luc.editor.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
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?.
Mathematical logic.
Programming languages (Electronic computers).
Database management.
Information storage and retrieval.
Algorithms.
Data mining.
Mathematical Logic and Formal Languages.
Programming Languages, Compilers, Interpreters.
Database Management.
Information Storage and Retrieval.
Algorithm Analysis and Problem Complexity.
Data Mining and Knowledge Discovery.
Lecture notes in computer science