Inductive Logic Programming - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642138393, 9783642138409

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Can ILP Be Applied to Large Datasets?

Inductive Logic Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13840-9_24 ◽

2010 ◽

pp. 249-256 ◽

Cited By ~ 7

Author(s):

Hiroaki Watanabe ◽

Stephen Muggleton

Keyword(s):

Large Datasets

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A Logic-Based Approach to Relation Extraction from Texts

Inductive Logic Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13840-9_5 ◽

2010 ◽

pp. 34-48 ◽

Cited By ~ 5

Author(s):

Tamás Horváth ◽

Gerhard Paass ◽

Frank Reichartz ◽

Stefan Wrobel

Keyword(s):

Relation Extraction

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Nonmonotonic Onto-Relational Learning

Inductive Logic Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13840-9_9 ◽

2010 ◽

pp. 88-95 ◽

Cited By ~ 1

Author(s):

Francesca A. Lisi ◽

Floriana Esposito

Keyword(s):

Relational Learning

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Policy Transfer via Markov Logic Networks

Inductive Logic Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13840-9_23 ◽

2010 ◽

pp. 234-248 ◽

Cited By ~ 2

Author(s):

Lisa Torrey ◽

Jude Shavlik

Keyword(s):

Policy Transfer ◽

Markov Logic Networks ◽

Markov Logic

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Boosting First-Order Clauses for Large, Skewed Data Sets

Inductive Logic Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13840-9_15 ◽

2010 ◽

pp. 166-177

Author(s):

Louis Oliphant ◽

Elizabeth Burnside ◽

Jude Shavlik

Keyword(s):

Data Sets ◽

Skewed Data ◽

First Order

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On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics

Inductive Logic Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13840-9_3 ◽

2010 ◽

pp. 17-24 ◽

Cited By ~ 3

Author(s):

Daan Fierens

Keyword(s):

Bayesian Networks ◽

Logic Programming ◽

Probabilistic Logic ◽

Probabilistic Logic Programming ◽

Distribution Semantics ◽

The Relationship

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Transfer Learning via Relational Templates

Inductive Logic Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13840-9_17 ◽

2010 ◽

pp. 186-193

Author(s):

Scott Proper ◽

Prasad Tadepalli

Keyword(s):

Transfer Learning

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Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages

Inductive Logic Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13840-9_16 ◽

2010 ◽

pp. 178-185 ◽

Cited By ~ 3

Author(s):

Anup Patel ◽

Ganesh Ramakrishnan ◽

Pushpak Bhattacharya

Keyword(s):

Named Entity Recognition ◽

Entity Recognition ◽

Indian Languages ◽

Named Entity

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Towards Clausal Discovery for Stream Mining

Inductive Logic Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13840-9_2 ◽

2010 ◽

pp. 9-16 ◽

Cited By ~ 2

Author(s):

Anton Dries ◽

Luc De Raedt

Keyword(s):

Stream Mining

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Induction of Relational Algebra Expressions

Inductive Logic Programming - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13840-9_4 ◽

2010 ◽

pp. 25-33 ◽

Cited By ~ 1

Author(s):

Joris J. M. Gillis ◽

Jan Van den Bussche

Keyword(s):

Relational Algebra

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Inductive Logic Programming - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Can ILP Be Applied to Large Datasets?

A Logic-Based Approach to Relation Extraction from Texts

Nonmonotonic Onto-Relational Learning

Policy Transfer via Markov Logic Networks

Boosting First-Order Clauses for Large, Skewed Data Sets

On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics

Transfer Learning via Relational Templates

Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages

Towards Clausal Discovery for Stream Mining

Induction of Relational Algebra Expressions

Inductive Logic Programming - Lecture Notes in Computer Science
Latest Publications