Advances in Artificial Intelligence - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642252730, 9783642252747

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A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25274-7_7 ◽

2011 ◽

pp. 64-73

Author(s):

Aida de Haro-García ◽

Javier Pérez-Rodríguez ◽

Nicolás García-Pedrajas

Keyword(s):

Scaling Up ◽

Instance Selection

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Global Feature Subset Selection on High-Dimensional Datasets Using Re-ranking-based EDAs

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25274-7_6 ◽

2011 ◽

pp. 54-63 ◽

Cited By ~ 1

Author(s):

Pablo Bermejo ◽

Luis de La Ossa ◽

Jose M. Puerta

Keyword(s):

Subset Selection ◽

Feature Subset Selection ◽

High Dimensional ◽

Feature Subset ◽

Global Feature ◽

High Dimensional Datasets

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Improving Collaborative Filtering in Social Tagging Systems

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25274-7_47 ◽

2011 ◽

pp. 463-472 ◽

Cited By ~ 2

Author(s):

Felice Ferrara ◽

Carlo Tasso

Keyword(s):

Collaborative Filtering ◽

Social Tagging ◽

Social Tagging Systems

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SAHN with SEP/COP and SPADE, to Build a General Web Navigation Adaptation System Using Server Log Information

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25274-7_42 ◽

2011 ◽

pp. 413-422

Author(s):

Olatz Arbelaitz ◽

Ibai Gurrutxaga ◽

Aizea Lojo ◽

Javier Muguerza ◽

Iñigo Perona

Keyword(s):

Web Navigation

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Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25274-7_36 ◽

2011 ◽

pp. 353-362 ◽

Cited By ~ 1

Author(s):

Javier Cózar ◽

Luis de la Ossa ◽

Jose M. Puerta

Keyword(s):

Local Search ◽

Search Algorithms ◽

Fuzzy Rules ◽

Local Search Algorithms

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OntoMetaWorkflow: An Ontology for Representing Data and Users in Workflows

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25274-7_21 ◽

2011 ◽

pp. 203-212

Author(s):

Alvaro E. Prieto ◽

Adolfo Lozano-Tello ◽

José Luis Redondo-García

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Learning Naive Bayes Models for Multiple-Instance Learning with Label Proportions

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25274-7_14 ◽

2011 ◽

pp. 134-144 ◽

Cited By ~ 6

Author(s):

Jerónimo Hernández ◽

Iñaki Inza

Keyword(s):

Naive Bayes ◽

Naïve Bayes ◽

Multiple Instance Learning

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C4.5 Consolidation Process: An Alternative to Intelligent Oversampling Methods in Class Imbalance Problems

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25274-7_8 ◽

2011 ◽

pp. 74-83 ◽

Cited By ~ 3

Author(s):

Iñaki Albisua ◽

Olatz Arbelaitz ◽

Ibai Gurrutxaga ◽

Javier Muguerza ◽

Jesús M. Pérez

Keyword(s):

Class Imbalance ◽

Consolidation Process

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A New Criteria for Selecting Neighborhood in Memory-Based Recommender Systems

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25274-7_43 ◽

2011 ◽

pp. 423-432 ◽

Cited By ~ 5

Author(s):

Sergio Cleger-Tamayo ◽

Juan M. Fernández-Luna ◽

Juan F. Huete

Keyword(s):

Recommender Systems ◽

New Criteria

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Using the Relaxed Plan Heuristic to Select Goals in Oversubscription Planning Problems

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25274-7_19 ◽

2011 ◽

pp. 183-192 ◽

Cited By ~ 4

Author(s):

Angel García-Olaya ◽

Tomás de la Rosa ◽

Daniel Borrajo

Keyword(s):

Planning Problems

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Advances in Artificial Intelligence - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets

Global Feature Subset Selection on High-Dimensional Datasets Using Re-ranking-based EDAs

Improving Collaborative Filtering in Social Tagging Systems

SAHN with SEP/COP and SPADE, to Build a General Web Navigation Adaptation System Using Server Log Information

Learning Cooperative TSK-0 Fuzzy Rules Using Fast Local Search Algorithms

OntoMetaWorkflow: An Ontology for Representing Data and Users in Workflows

Learning Naive Bayes Models for Multiple-Instance Learning with Label Proportions

C4.5 Consolidation Process: An Alternative to Intelligent Oversampling Methods in Class Imbalance Problems

A New Criteria for Selecting Neighborhood in Memory-Based Recommender Systems

Using the Relaxed Plan Heuristic to Select Goals in Oversubscription Planning Problems

Advances in Artificial Intelligence - Lecture Notes in Computer Science
Latest Publications