MICAI 2009: Advances in Artificial Intelligence
Springer Berlin (Verlag)
978-3-642-05257-6 (ISBN)
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 Networksand 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.
| Erscheint lt. Verlag | 26.10.2009 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XVII, 743 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1134 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Schlagworte | 3D Reconstruction • algorithms • Bioinformatics • cancer diagnosis • Collaborative Learning • computer vision • Data Mining • digital mammograms • DNA analysis • Hardcover, Softcover / Informatik, EDV/Informatik • Image Processing • machine learning • motif recognition • neural control • Neural networks • particle swarm • pattern recognition • Physics simulation • Protein Folding • service robots • Signature Verification • swarms • Unsupervised Learning |
| ISBN-10 | 3-642-05257-6 / 3642052576 |
| ISBN-13 | 978-3-642-05257-6 / 9783642052576 |
| Zustand | Neuware |
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