MICAI 2007: Advances in Artificial Intelligence : 6th Mexican International Conference on Artificial Intelligence, Aguascalientes, Mexico, November 4-10, 2007, Proceedings

Computational Intelligence.- Implementing Knowledge Update Sequences.- Generalized Fuzzy Operations for Digital Hardware Implementation.- A Novel Model of Artificial Immune System for Solving Constrained Optimization Problems with Dynamic Tolerance Factor.- A Genetic Representation for Dynamic System Qualitative Models on Genetic Programming: A Gene Expression Programming Approach.- Handling Constraints in Particle Swarm Optimization Using a Small Population Size.- Collective Methods on Flock Traffic Navigation Based on Negotiation.- A New Global Optimization Algorithm Inspired by Parliamentary Political Competitions.- Discovering Promising Regions to Help Global Numerical Optimization Algorithms.- Clustering Search Approach for the Traveling Tournament Problem.- Stationary Fokker – Planck Learning for the Optimization of Parameters in Nonlinear Models.- From Horn Strong Backdoor Sets to Ordered Strong Backdoor Sets.- G–Indicator: An M–Ary Quality Indicator for the Evaluation of Non–dominated Sets.- Approximating the ?-Efficient Set of an MOP with Stochastic Search Algorithms.- A Multicriterion SDSS for the Space Process Control: Towards a Hybrid Approach.- Neural Networks.- Radial Basis Function Neural Network Based on Order Statistics.- Temperature Cycling on Simulated Annealing for Neural Network Learning.- On Conditions for Intermittent Search in Self-organizing Neural Networks.- Similarity Clustering of Music Files According to User Preference.- Complete Recall on Alpha-Beta Heteroassociative Memory.- Knowledge Representation and Reasoning.- I-Cog: A Computational Framework for Integrated Cognition of Higher Cognitive Abilities.- A Rule-Based System for Assessing Consistency Between UML Models.- Partial Satisfiability-Based Merging.- Optimizing Inference in Bayesian Networks and Semiring Valuation Algebras.- Compiling Solution Configurations in Semiring Valuation Systems.- Implementing Knowledge Update Sequences.- On Reachability of Minimal Models of Multilattice-Based Logic Programs.- Update Sequences Based on Minimal Generalized Pstable Models.- PStable Semantics for Possibilistic Logic Programs.- Improving Efficiency of Prolog Programs by Fully Automated Unfold/Fold Transformation.- A Word Equation Solver Based on Levensthein Distance.- Simple Model-Based Exploration and Exploitation of Markov Decision Processes Using the Elimination Algorithm.- A Simple Model for Assessing Output Uncertainty in Stochastic Simulation Systems.- Agents and Multiagent Systems.- An Empirically Terminological Point of View on Agentism in the Artificial.- Inductive Logic Programming Algorithm for Estimating Quality of Partial Plans.- Modeling Emotion-Influenced Social Behavior for Intelligent Virtual Agents.- Just-in-Time Monitoring of Project Activities Through Temporal Reasoning.- Machine Learning and Data Mining.- Scaling Kernels: A New Least Squares Support Vector Machine Kernel for Approximation.- Evolutionary Feature and Parameter Selection in Support Vector Regression.- Learning Models of Relational MDPs Using Graph Kernels.- Weighted Instance-Based Learning Using Representative Intervals.- A Novel Information Theory Method for Filter Feature Selection.- Building Fine Bayesian Networks Aided by PSO-Based Feature Selection.- Two Simple and Effective Feature Selection Methods for Continuous Attributes with Discrete Multi-class.- INCRAIN: An Incremental Approach for the Gravitational Clustering.- On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset.- Learning Collaboration Links in a Collaborative Fuzzy Clustering Environment.- Algorithm for Graphical Bayesian Modeling Based on Multiple Regressions.- Coordinating Returns Policies and Marketing Plans for Profit Optimization in E-Business Based on a Hybrid Data Mining Process.- An EM Algorithm to Learn Sequences in the Wavelet Domain.- Assessment of Personal Importance Based on Social Networks.- Optimization Procedure for Predicting Nonlinear Time Series Based on a Non-Gaussian Noise Model.- An Improved Training Algorithm of Neural Networks for Time Series Forecasting.- Evolved Kernel Method for Time Series.- Image Processing, Computer Vision, and Robotics.- Using Ant Colony Optimization and Self-organizing Map for Image Segmentation.- Correspondence Regions and Structured Images.- The Wavelet Based Contourlet Transform and Its Application to Feature Preserving Image Coding.- Design of an Evolutionary Codebook Based on Morphological Associative Memories.- A Shape-Based Model for Visual Information Retrieval.- An Indexing and Retrieval System of Historic Art Images Based on Fuzzy Shape Similarity.- PCB Inspection Using Image Processing and Wavelet Transform.- A Single-Frame Super-Resolution Innovative Approach.- Shadows Attenuation for Robust Object Recognition.- Fuzzy Directional Adaptive Recursive Temporal Filter for Denoising of Video Sequences.- Bars Problem Solving - New Neural Network Method and Comparison.- A Coarse-and-Fine Bayesian Belief Propagation for Correspondence Problems in Computer Vision.- 3D Object Recognition Based on Low Frequency Response and Random Feature Selection.- Image Processing for 3D Reconstruction Using a Modified Fourier Transform Profilometry Method.- 3D Space Representation by Evolutive Algorithms.- Knowledge Acquisition and Automatic Generation of Rules for the Inference Machine CLIPS.- On-Line Rectification of Sport Sequences with Moving Cameras.- A New Person Tracking Method for Human-Robot Interaction Intended for Mobile Devices.- Example-Based Face Shape Recovery Using the Zenith Angle of the Surface Normal.- Feature Extraction and Face Verification Using Gabor and Gaussian Mixture Models.- Lips Shape Extraction Via Active Shape Model and Local Binary Pattern.- Continuous Stereo Gesture Recognition with Multi-layered Silhouette Templates and Support Vector Machines.- Small-Time Local Controllability of a Differential Drive Robot with a Limited Sensor for Landmark-Based Navigation.- Natural Language Processing.- Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation.- Fuzzifying Clustering Algorithms: The Case Study of MajorClust.- Taking Advantage of the Web for Text Classification with Imbalanced Classes.- A Classifier System for Author Recognition Using Synonym-Based Features.- Variants of Tree Kernels for XML Documents.- Textual Energy of Associative Memories: Performant Applications of Enertex Algorithm in Text Summarization and Topic Segmentation.- A New Hybrid Summarizer Based on Vector Space Model, Statistical Physics and Linguistics.- Graph Decomposition Approaches for Terminology Graphs.- An Improved Fast Algorithm of Frequent String Extracting with no Thesaurus.- Using Lexical Patterns for Extracting Hyponyms from the Web.- On the Usage of Morphological Tags for Grammar Induction.- Web-Based Model for Disambiguation of Prepositional Phrase Usage.- Identification of Chinese Verb Nominalization Using Support Vector Machine.- Enrichment of Automatically Generated Texts Using Metaphor.- An Integrated Reordering Model for Statistical Machine Translation.- Hobbs’ Algorithm for Pronoun Resolution in Portuguese.- Automatic Acquisition of Attribute Host by Selectional Constraint Resolution.- E-Gen: Automatic Job Offer Processing System for Human Resources.- How Context and Semantic Information Can Help a Machine Learning System?.- Speech Processing and Human-Computer Interfaces.- Auditory Cortical Representations of Speech Signals for Phoneme Classification.- Using Adaptive Filter and Wavelets to Increase Automatic Speech Recognition Rate in Noisy Environment.- Spoken Commands in a Smart Home: An Iterative Approach to the Sphinx Algorithm.- Emotion Estimation Algorithm Based on Interpersonal Emotion Included in Emotional Dialogue Sentences.- The Framework of Mental State Transition Analysis.- Planning and Scheduling.- Integration of Symmetry and Macro-operators in Planning.- Planning by Guided Hill-Climbing.- DiPro: An Algorithm for the Packing in Product Transportation Problems with Multiple Loading and Routing Variants.- On the Performance of Deterministic Sampling in Probabilistic Roadmap Planning.- Hybrid Evolutionary Algorithm for Flowtime Minimisation in No-Wait Flowshop Scheduling.- Enhancing Supply Chain Decisions Using Constraint Programming: A Case Study.- Bioinformatics and Medical Applications.- Analysis of DNA-Dimer Distribution in Retroviral Genomes Using a Bayesian Networks Induction Technique Based on Genetic Algorithms.- SELDI-TOF-MS Pattern Analysis for Cancer Detection as a Base for Diagnostic Software.- Three Dimensional Modeling of Individual Vessels Based on Matching of Adaptive Control Points.- Industrial Applications.- Design and Implementation of Petrinet Based Distributed Control Architecture for Robotic Manufacturing Systems.- Multi Sensor Data Fusion for High Speed Machining.- VisualBlock-FIR for Fault Detection and Identification: Application to the DAMADICS Benchmark Problem.- Sliding Mode Control of a Hydrocarbon Degradation in Biopile System Using Recurrent Neural Network Model.- Intelligent Tutoring Systems.- Knowledge Acquisition in Intelligent Tutoring System: A Data Mining Approach.- Features Selection Through FS-Testors in Case-Based Systems of Teaching-Learning.- Heuristic Optimization Methods for Generating Test from a Question Bank.