Inductive Logic Programming  19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers /  [electronic resource] : 
edited by Luc Raedt. 
 - 1st ed. 2010. 
 - XII, 257 p.  online resource. 
 - Lecture Notes in Artificial Intelligence,  5989  2945-9141 ; .
 - Lecture Notes in Artificial Intelligence,  5989 .
<br/><br/>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?. 
<br/><br/><label>ISBN: </label>9783642138409 
<br/><br/><label>Standard No.: </label>10.1007/978-3-642-13840-9  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine theory.<br/>Compilers (Computer programs).<br/>Database management.<br/>Information storage and retrieval systems.<br/>Algorithms.<br/>Data mining.<br/>Formal Languages and Automata Theory.<br/>Compilers and Interpreters.<br/>Database Management.<br/>Information Storage and Retrieval.<br/>Algorithms.<br/>Data Mining and Knowledge Discovery.
<br/><br/><label>LC Class. No.: </label>QA267-268.5 
<br/><br/><label>Dewey Class. No.: </label>005.131