MICAI 2009: Advances in Artificial Intelligence 8th Mexican International Conference on Artificial Intelligence, Guanajuato, México, November 9-13, 2009. Proceedings /
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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| Σειρά: | Lecture Notes in Computer Science,
5845 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
