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Advances in Artificial Intelligence

14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 7-11, 2011. Proceedings

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Jose A. Lozano

    1. Computer Science School, University of the Basque Country, Donostia-San Sebastian, Spain

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  2. José A. Gámez

    1. Computing Systems Department, University of Castilla-La Mancha, Albacete, Spain

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  3. José A. Moreno

    1. Dep. Statistics, O.R. and Computation, University of La Laguna, La Laguna, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7023)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: CAEPIA 2011.

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Table of contents (50 papers)

  1. Front Matter

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  2. Agent-Based and Multiagent Systems

    1. Evaluating a Reinforcement Learning Algorithm with a General Intelligence Test

      • Javier Insa-Cabrera, David L. Dowe, José Hernández-Orallo
      Pages 1-11

    2. Evaluation of an Automated Mechanism for Generating New Regulations

      • Javier Morales, Maite López-Sánchez, Marc Esteva
      Pages 12-21

    3. A Multi-agent System for Incident Management Solutions on IT Infrastructures

      • Elena Sánchez-Nielsen, Antonio Padrón-Ferrer, Francisco Marreo-Estévez
      Pages 22-31

    4. Market Self-organization under Limited Information

      • Gregor Reich
      Pages 32-41

    5. Solving Sequential Mixed Auctions with Integer Programming

      • Boris Mikhaylov, Jesus Cerquides, Juan A. Rodriguez-Aguilar
      Pages 42-53

  3. Machine Learning

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

      • Pablo Bermejo, Luis de La Ossa, Jose M. Puerta
      Pages 54-63

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

      • Aida de Haro-García, Javier Pérez-Rodríguez, Nicolás García-Pedrajas
      Pages 64-73

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

      • Iñaki Albisua, Olatz Arbelaitz, Ibai Gurrutxaga, Javier Muguerza, Jesús M. Pérez
      Pages 74-83

    4. Scalability Analysis of ANN Training Algorithms with Feature Selection

      • Verónica Bolón-Canedo, Diego Peteiro-Barral, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Noelia Sánchez-Maroño
      Pages 84-93

    5. Using Model Trees and Their Ensembles for Imbalanced Data

      • Juan J. Rodríguez, José F. Díez-Pastor, César García-Osorio, Pedro Santos
      Pages 94-103

    6. Instance Selection for Class Imbalanced Problems by Means of Selecting Instances More than Once

      • Javier Pérez-Rodríguez, Aida de Haro-García, Nicolás García-Pedrajas
      Pages 104-113

    7. On the Effectiveness of Distributed Learning on Different Class-Probability Distributions of Data

      • Diego Peteiro-Barral, Bertha Guijarro-Berdiñas, Beatriz Pérez-Sánchez
      Pages 114-123

    8. On the Learning of ESN Linear Readouts

      • Carlos M. Alaíz, José R. Dorronsoro
      Pages 124-133

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

      • Jerónimo Hernández, Iñaki Inza
      Pages 134-144

    10. The von Mises Naive Bayes Classifier for Angular Data

      • Pedro L. López-Cruz, Concha Bielza, Pedro Larrañaga
      Pages 145-154

    11. Unravelling the Yeast Cell Cycle Using the TriGen Algorithm

      • David Gutiérrez-Avilés, Cristina Rubio-Escudero, José C. Riquelme
      Pages 155-163

    12. Pattern Recognition in Biological Time Series

      • Francisco Gómez-Vela, Francisco Martínez-Álvarez, Carlos D. Barranco, Norberto Díaz-Díaz, Domingo Savio Rodríguez-Baena, Jesús S. Aguilar-Ruiz
      Pages 164-172

  4. Knowledge Representation, Logic, Search and Planning

    1. On the Expressive Power of First Order-Logic Extended with Allen’s Relations in the Strict Case

      • Willem Conradie, Guido Sciavicco
      Pages 173-182

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

      • Angel García-Olaya, Tomás de la Rosa, Daniel Borrajo
      Pages 183-192
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Other volumes

  1. Advances in Artificial Intelligence

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About this book

This book constitutes the refereed proceedings of the 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2009, held in La Laguna, Canary Islands, Spain, in November 2011. The 50 revised full papers presented were carefully selected from 149 submissions. The papers are organized in topical sections on agent-based and multi-agent systems; machine learning; knowledge representation, logic, search and planning; multidisciplinary topics and applications; vision and robotics; soft computing; Web intelligence and information retrieval.

Editors and Affiliations

  • Computer Science School, University of the Basque Country, Donostia-San Sebastian, Spain

    Jose A. Lozano

  • Computing Systems Department, University of Castilla-La Mancha, Albacete, Spain

    José A. Gámez

  • Dep. Statistics, O.R. and Computation, University of La Laguna, La Laguna, Spain

    José A. Moreno

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