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MICAI 2009: Advances in Artificial Intelligence 8th Mexican International Conference on Artificial Intelligence, Guanajuato, México, November 9-13, 2009 Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Hernández Aguirre, Arturo (Editor ), Monroy Borja, Raúl (Editor ), Reyes García, Carlos Albetro (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Lecture Notes in Artificial Intelligence, 5845
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Invited Talks
  • Semantic Management of Heterogeneous Documents
  • Logic and Reasoning
  • Possibilistic Well-Founded Semantics
  • Ontologies, Knowledge Management and Knowledge-Based Systems
  • ACO for Solving the Distributed Allocation of a Corporate Semantic Web
  • Implementing PS-Merge Operator
  • Uncertainty and Probabilistic Reasoning
  • Generating Explanations Based on Markov Decision Processes
  • Compiling Multiply Sectioned Bayesian Networks: A Comparative Study
  • Cosine Policy Iteration for Solving Infinite-Horizon Markov Decision Processes
  • Transformer Diagnosis Using Probabilistic Vibration Models
  • Intelligent Aircraft Damage Assessment, Trajectory Planning, and Decision-Making under Uncertainty
  • A Scrabble Heuristic Based on Probability That Performs at Championship Level
  • Natural Language Processing
  • From Semantic Roles to Temporal Information Representation
  • Dependency Language Modeling Using KNN and PLSI
  • Supervised Recognition of Age-Related Spanish Temporal Phrases
  • Using Nearest Neighbor Information to Improve Cross-Language Text Classification
  • Ranking Refinement via Relevance Feedback in Geographic Information Retrieval
  • Data Mining
  • A Complex Networks Approach to Demographic Zonification
  • Multiscale Functional Autoregressive Model for Monthly Sardines Catches Forecasting
  • Discretization of Time Series Dataset with a Genetic Search
  • Mining Social Networks on the Mexican Computer Science Community
  • Machine Learning
  • Probabilistic Graphical Markov Model Learning: An Adaptive Strategy
  • Support Vector Optimization through Hybrids: Heuristics and Math Approach
  • Pattern Recognition
  • On-Line Signature Verification Based on Genetic Optimization and Neural-Network-Driven Fuzzy Reasoning
  • Diagnosis of Cervical Cancer Using the Median M-Type Radial Basis Function (MMRBF) Neural Network
  • Quasi-invariant Illumination Recognition for Appearance-Based Models, Taking Advantage of Manifold Information and Non-uniform Sampling
  • Computer Vision and Image Processing
  • Automatic Camera Localization, Reconstruction and Segmentation of Multi-planar Scenes Using Two Views
  • The Nonsubsampled Contourlet Transform for Enhancement of Microcalcifications in Digital Mammograms
  • Denoising Intra-voxel Axon Fiber Orientations by Means of ECQMMF Method
  • A Profilometric Approach for 3D Reconstruction Using Fourier and Wavelet Transforms
  • Vector Quantization Algorithm Based on Associative Memories
  • Robotics
  • A Two-Stage Relational Reinforcement Learning with Continuous Actions for Real Service Robots
  • People Detection by a Mobile Robot Using Stereo Vision in Dynamic Indoor Environments
  • Planning and Scheduling
  • SAT Encoding and CSP Reduction for Interconnected Alldiff Constraints
  • Phase Transition in the Bandwidth Minimization Problem
  • Planning for Conditional Learning Routes
  • A New Backtracking Algorithm for Constructing Binary Covering Arrays of Variable Strength
  • Pipelining Memetic Algorithms, Constraint Satisfaction, and Local Search for Course Timetabling
  • Fuzzy Logic
  • Fuzzy Relational Compression Applied on Feature Vectors for Infant Cry Recognition
  • Parametric Operations for Digital Hardware Implementation of Fuzzy Systems
  • Fuzzy Logic for Combining Particle Swarm Optimization and Genetic Algorithms: Preliminary Results
  • Optimization of Type-2 Fuzzy Integration in Modular Neural Networks Using an Evolutionary Method with Applications in Multimodal Biometry
  • Neural Networks
  • st-Alphabets: On the Feasibility in the Explicit Use of Extended Relational Alphabets in Classifier Systems
  • Comparison of Neural Networks and Support Vector Machine Dynamic Models for State Estimation in Semiautogenous Mills
  • Using Wolfe's Method in Support Vector Machines Learning Stage
  • Direct Adaptive Soft Computing Neural Control of a Continuous Bioprocess via Second Order Learning
  • Intelligent Tutoring Systems
  • A Kohonen Network for Modeling Students' Learning Styles in Web 2.0 Collaborative Learning Systems
  • Teaching-Learning by Means of a Fuzzy-Causal User Model
  • Inferring Knowledge from Active Learning Simulators for Physics
  • Bioinformatics and Medical Applications
  • Leukocyte Recognition Using EM-Algorithm
  • An Automaton for Motifs Recognition in DNA Sequences
  • Hybrid Intelligent Systems
  • A New Method for Optimal Cropping Pattern
  • MultiQuenching Annealing Algorithm for Protein Folding Problem
  • Outlier Detection with a Hybrid Artificial Intelligence Method
  • Wind Speed Forecasting Using a Hybrid Neural-Evolutive Approach
  • Hybridization of Evolutionary Mechanisms for Feature Subset Selection in Unsupervised Learning
  • Evolutionary Algorithms
  • A Particle Swarm Optimization Method for Multimodal Optimization Based on Electrostatic Interaction
  • Ranking Methods for Many-Objective Optimization
  • Why Unary Quality Indicators Are Not Inferior to Binary Quality Indicators
  • Using Copulas in Estimation of Distribution Algorithms
  • Redistricting by Square Cells
  • Finding Minimal Addition Chains with a Particle Swarm Optimization Algorithm
  • Linear Wind Farm Layout Optimization through Computational Intelligence
  • Building Blocks and Search
  • An Analysis of Recombination in Some Simple Landscapes
  • An Empirical Investigation of How Degree Neutrality Affects GP Search.