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Inductive Logic Programming
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Inductive Logic Programming 19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers / edited by Luc Raedt.
Saved in:
Bibliographic Details
Corporate Author:
SpringerLink (Online service)
Other Authors:
Raedt, Luc
(Editor)
Format:
eBook
Language:
English
Published:
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
Edition:
1st ed. 2010.
Series:
Lecture Notes in Artificial Intelligence ;
5989
Springer eBook Collection.
Subjects:
Mathematical logic.
Programming languages (Electronic computers).
Database management.
Information storage and retrieval.
Algorithms.
Data mining.
Electronic resources (E-books)
Online Access:
Click to view e-book
Holy Cross Note:
Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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Description
Table of Contents
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Table of Contents:
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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