Advances in Soft Computing

1. Front Matter

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2. Invited Paper

   1. Discovering Role of Linguistic Geometry

      • Boris Stilman, Vladimir Yakhnis, Oleg Umanskiy

      Pages 1-21

3. Machine Learning and Pattern Recognition

   1. Elkan’s k-Means Algorithm for Graphs

      • Brijnesh J. Jain, Klaus Obermayer

      Pages 22-32

   2. A Simple Approach to Incorporate Label Dependency in Multi-label Classification

      • Everton Alvares Cherman, Jean Metz, Maria Carolina Monard

      Pages 33-43

   3. Methods and Algorithms of Information Generalization in Noisy Databases

      • Vadim Vagin, Marina Fomina

      Pages 44-55

   4. Object Class Recognition Using SIFT and Bayesian Networks

      • Leonardo Chang, Miriam Monica Duarte, Luis Enrique Sucar, Eduardo F. Morales

      Pages 56-66

   5. Boosting Based Conditional Quantile Estimation for Regression and Binary Classification

      • Songfeng Zheng

      Pages 67-79

   6. A Fast Fuzzy Cocke-Younger-Kasami Algorithm for DNA and RNA Strings Analysis

      • Herón Molina-Lozano

      Pages 80-91

   7. A Fast Implementation of the CT_EXT Algorithm for the Testor Property Identification

      • Guillermo Sanchez-Diaz, Ivan Piza-Davila, Manuel Lazo-Cortes, Miguel Mora-Gonzalez, Javier Salinas-Luna

      Pages 92-103

   8. Supervised Probabilistic Classification Based on Gaussian Copulas

      • Rogelio Salinas-Gutiérrez, Arturo Hernández-Aguirre, Mariano J. J. Rivera-Meraz, Enrique R. Villa-Diharce

      Pages 104-115

   9. Text-Independent Speaker Identification Using VQ-HMM Model Based Multiple Classifier System

      • Ali Zulfiqar, Aslam Muhammad, Ana Maria Martinez-Enriquez, G. Escalada-Imaz

      Pages 116-125

   10. Towards One-Class Pattern  Recognition in Brain Activity  via Neural Networks

       • Omer Boehm, David R. Hardoon, Larry M. Manevitz

       Pages 126-137

   11. Real Time Tracking of Musical Performances

       • Antonio Camarena-Ibarrola, Edgar Chávez

       Pages 138-148

   12. Recognizing Dactylogical Symbols with Image Segmentation and a New Differentiated Weighting Scheme

       • Laura Jeanine Razo Gil, Salvador Godoy-Calderón, Ricardo Barrón Fernández

       Pages 149-162

4. Automatic Learning for Natural Language Processing

   1. Selecting Candidate Labels for Hierarchical Document Clusters Using Association Rules

      • Fabiano Fernandes dos Santos, Veronica Oliveira de Carvalho, Solange Oliveira Rezende

      Pages 163-176

   2. Recognizing Textual Entailment Using a Machine Learning Approach

      • Miguel Angel Ríos Gaona, Alexander Gelbukh, Sivaji Bandyopadhyay

      Pages 177-185

   3. Detection of Different Authorship of Text Sequences through Self-organizing Maps and Mutual Information Function

      • Antonio Neme, Blanca Lugo, Alejandra Cervera

      Pages 186-195

   4. Supervised Machine Learning for Predicting the Meaning of Verb-Noun Combinations in Spanish

      • Olga Kolesnikova, Alexander Gelbukh

      Pages 196-207

5. Hybrid Intelligent Systems and Neural Networks

   1. On the Structure of Elimination Trees for Bayesian Network Inference

      • Kevin Grant, Keilan Scholten

      Pages 208-220

   2. CBR and Neural Networks Based Technique for Predictive Prefetching

      • Sohail Sarwar, Zia Ul-Qayyum, Owais Ahmed Malik

      Pages 221-232

Artificial intelligence (AI) is a branch of computer science that models the human ability of reasoning, usage of human language and organization of knowledge, solving problems and practically all other human intellectual abilities. Usually it is characterized by the application of heuristic methods because in the majority of cases there is no exact solution to this kind of problem. Soft computing can be viewed as a branch of AI that deals with the problems that explicitly contain incomplete or complex information, or are known to be impossible for direct computation, i.e., these are the same problems as in AI but viewed from the perspective of their computation. The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. In 2010, SMIA celebrated 10 years of activity related to the organization of MICAI as is represented in its slogan “Ten years on the road with AI”. MICAI conferences traditionally publish high-quality papers in all areas of artificial intelligence and its applications. The proceedings of the previous MICAI events were also published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vols. 1793, 2313, 2972, 3789, 4293, 4827, 5317, and 5845. Since its foundation in 2000, the conference has been growing in popularity and improving in quality.

• artificial intelligence
• cognition
• evolution
• evolutionary algorithm
• fuzzy logic
• learning
• machine learning
• neural network
• pattern recognition
• algorithm analysis and problem complexity

• Centro de Investigación en Computación, Instituto Politécnico Nacional, Mexico City, México

  Grigori Sidorov

• Centro de Investigación en Matemáticas (CIMAT), Area de Computación, Guanajuato, México

  Arturo Hernández Aguirre

• Ciencias Computacionales, Instituto Nacional de Astrofísica, Optica y Electrónica (INAOE), Puebla, México

  Carlos Alberto Reyes García

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