TY  - BOOK
AU  - Raedt,Luc
ED  - SpringerLink (Online service)
TI  - Inductive Logic Programming: 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009. Revised Papers 
T2  - Lecture Notes in Computer Science,
SN  - 9783642138409
AV  - QA8.9-QA10.3 
U1  - 005.131 23
PY  - 2010///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Computer software
KW  - Logic design
KW  - Database management
KW  - Data mining
KW  - Information storage and retrieval systems
KW  - Computer Science
KW  - Mathematical Logic and Formal Languages
KW  - Database Management
KW  - Information Storage and Retrieval
KW  - Algorithm Analysis and Problem Complexity
KW  - Data Mining and Knowledge Discovery
KW  - Logics and Meanings of Programs
N1  - 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?
UR  - http://dx.doi.org/10.1007/978-3-642-13840-9
ER  -