Advances in soft computing : 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010 : proceedings, part II

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. Front Matter....Pages - Discovering Role of Linguistic Geometry....Pages 1-21 Elkan’s k-Means Algorithm for Graphs....Pages 22-32 A Simple Approach to Incorporate Label Dependency in Multi-label Classification....Pages 33-43 Methods and Algorithms of Information Generalization in Noisy Databases....Pages 44-55 Object Class Recognition Using SIFT and Bayesian Networks....Pages 56-66 Boosting Based Conditional Quantile Estimation for Regression and Binary Classification....Pages 67-79 A Fast Fuzzy Cocke-Younger-Kasami Algorithm for DNA and RNA Strings Analysis....Pages 80-91 A Fast Implementation of the CT_EXT Algorithm for the Testor Property Identification....Pages 92-103 Supervised Probabilistic Classification Based on Gaussian Copulas....Pages 104-115 Text-Independent Speaker Identification Using VQ-HMM Model Based Multiple Classifier System....Pages 116-125 Towards One-Class Pattern Recognition in Brain Activity via Neural Networks....Pages 126-137 Real Time Tracking of Musical Performances....Pages 138-148 Recognizing Dactylogical Symbols with Image Segmentation and a New Differentiated Weighting Scheme....Pages 149-162 Selecting Candidate Labels for Hierarchical Document Clusters Using Association Rules....Pages 163-176 Recognizing Textual Entailment Using a Machine Learning Approach....Pages 177-185 Detection of Different Authorship of Text Sequences through Self-organizing Maps and Mutual Information Function....Pages 186-195 Supervised Machine Learning for Predicting the Meaning of Verb-Noun Combinations in Spanish....Pages 196-207 On the Structure of Elimination Trees for Bayesian Network Inference....Pages 208-220 CBR and Neural Networks Based Technique for Predictive Prefetching....Pages 221-232 Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels....Pages 233-244 Stability and Topology in Reservoir Computing....Pages 245-256 A Radial Basis Function Redesigned for Predicting a Welding Process....Pages 257-268 Dynamic Neural Networks Applied to Melody Retrieval....Pages 269-279 Recognition of Huffman Codewords with a Genetic-Neural Hybrid System....Pages 280-289 Fraud Detection Model Based on the Discovery Symbolic Classification Rules Extracted from a Neural Network....Pages 290-302 Hardware Implementation of Artificial Neural Networks for Arbitrary Boolean Functions with Generalised Threshold Gate Circuits....Pages 303-314 Solving No-Wait Flow Shop Scheduling Problems by a Hybrid Quantum-Inspired Evolutionary Algorithm....Pages 315-324 Reducing the Search Space in Evolutive Design of ARIMA and ANN Models for Time Series Prediction....Pages 325-336 Routing Algorithms for Wireless Sensor Networks Using Ant Colony Optimization....Pages 337-348 Approximating Multi-Objective Hyper-Heuristics for Solving 2D Irregular Cutting Stock Problems....Pages 349-360 Particle Swarm Optimization with Gravitational Interactions for Multimodal and Unimodal Problems....Pages 361-370 Particle Swarm Optimization with Resets – Improving the Balance between Exploration and Exploitation....Pages 371-381 MiTS: A New Approach of Tabu Search for Constructing Mixed Covering Arrays....Pages 382-393 On the Best Evolutionary Wavelet Based Filter to Compress a Specific Signal....Pages 394-405 Financial Time Series Prediction in Cooperating with Event Knowledge: A Fuzzy Approach....Pages 406-417 The Fuzzy Syllogistic System....Pages 418-427 Big Five Patterns for Software Engineering Roles Using an ANFIS Learning Approach with RAMSET....Pages 428-439 New Proposal for Eliminating Interferences in a Radar System....Pages 440-453 Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions Applied to Benchmark Problems....Pages 454-464 Fuzzy Logic for Parameter Tuning in Evolutionary Computation and Bio-inspired Methods....Pages 465-474 Fuzzy Logic Controllers Optimization Using Genetic Algorithms and Particle Swarm Optimization....Pages 475-486 FPGA Implementation of Fuzzy System with Parametric Membership Functions and Parametric Conjunctions....Pages 487-499 Fuzzy Logic Hardware Implementation for Pneumatic Control of One DOF Pneumatic Robot....Pages 500-511 Back Matter....Pages - Annotation This two-volume set LNAI 6437 and 6438 constitutes the refereed proceedings of the 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, held in Pachuca, Mexico, in November 2010. Based on rigorous peer reviews, the program committee carefully selected 82 revised papers from 301 submissions for presentation in two volumes. The second volume includes 44 papers focusing on soft computing. The papers are organized in topical sections on machine learning and pattern recognition; automatic learning for natural language processing; evolutionary algorithms and other naturally-inspired algorithms; hybrid intelligent systems and neural networks; and fuzzy logic