MICAI 2004: Advances in Artificial Intelligence
Third Mexican International Conference on Artificial Intelligence, Mexico City, Mexico, April 26-30, 2004, Proceedings
(Sprache: Englisch)
representative of the main current area of interest within the AI community.
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representative of the main current area of interest within the AI community.
Inhaltsverzeichnis zu „MICAI 2004: Advances in Artificial Intelligence “
- Applications- Pattern-Based Data Compression
- Using Simulated Annealing for Paper Cutting Optimization
- Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
- The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction
- Intelligent Interfaces and Speech Processing
- A Naïve Geography Analyst System with Cognitive Support of Imagery Exploitation
- Don't You Escape! I'll Tell You My Story
- Querying Virtual Worlds. A Fuzzy Approach
- Infant Cry Classification to Identify Hypoacoustics and Asphyxia with Neural Networks
- N-Best List Rescoring Using Syntactic Trigrams
- Continuants Based Neural Speaker Verification System
- Knowledge Representation
- Agent Protocols as Executable Ontologies
- Evaluation of RDF(S) and DAML+OIL Import/Export Services within Ontology Platforms
- Graduated Errors in Approximate Queries Using Hierarchies and Ordered Sets
- Finding the Most Similar Concepts in Two Different Ontologies
- ADM: An Active Deductive XML Database System
- Web-Based Intelligent Service for Coalition Operation Support in Networked Organizations
- Knowledge Acquisition and Management System for an Intelligent Planner
- Logic and Constraint Programming
- Stability Analysis for Dynamic Constraint Satisfaction Problems
- Evaluation-Based Semiring Meta-constraints
- Invariant Patterns for Program Reasoning
- Closing the Gap between the Stable Semantics and Extensions of WFS
- A Framework for Agent-Based Brokering of Reasoning Services
- Machine Learning and Data Mining
- Faster Proximity Searching in Metric Data
- Data Mining with Decision Trees and Neural Networks for Calcification Detection in Mammograms
- An Optimization Algorithm Based on Active and Instance-Based Learning
- MultiGrid-Based Fuzzy Systems for Function Approximation
- Inducing Classification Rules from Highly-Structured Data with Composition
- Comparing Techniques for Multiclass Classification Using
... mehr
Binary SVM Predictors
- Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian Learning
- Feature Selection-Ranking Methods in a Very Large Electric Database
- Automatic Case Adaptation with a Hybrid Committee Approach
- Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior
- Advanced Clustering Technique for Medical Data Using Semantic Information
- Multiagent Systems and Distributed AI
- Strict Valued Preference Relations and Choice Functions in Decision-Making Procedures
- Adaptation in the Presence of Exogeneous Information in an Artificial Financial Market
- Design Patterns for Multiagent Systems Design
- A Faster Optimal Allocation Algorithm in Combinatorial Auctions
- An Agent Based Framework for Modelling Neuronal Regulators of the Biological Systems
- Possibilistic Reasoning and Privacy/Efficiency Tradeoffs in Multi-agent Systems
- Natural Language
- A Biologically Motivated and Computationally Efficient Natural Language Processor
- A Question-Answering System Using Argumentation
- Automatic Building of a Machine Translation Bilingual Dictionary Using Recursive Chain-Link-Type Learning from a Parallel Corpus
- Recognition of Named Entities in Spanish Texts
- Automatic Enrichment of Very Large Dictionary of Word Combinations on the Basis of Dependency Formalism
- Towards an Efficient Evolutionary Decoding Algorithm for Statistical Machine Translation
- The Role of Imperatives in Inference, Agents, and Actions
- Automatic Multilinguality for Time Expression Resolution
- AQUA - Ontology-Based Question Answering System
- Phrase Chunking for Efficient Parsing in Machine Translation System
- Uncertainty Reasoning
- Motion Planning Based on Geometric Features
- Comparative Evaluation of Temporal Nodes Bayesian Networks and Networks of Probabilistic Events in Discrete Time
- Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning
- Causal Identification in Design Networks
- Bayes-N: An Algorithm for Learning Bayesian Networks from Data Using Local Measures of Information Gain Applied to Classification Problems
- Methodology for Handling Uncertainty by Using Interval Type-2 Fuzzy Logic Systems
- Online Diagnosis Using Influence Diagrams
- Toward a New Approach for Online Fault Diagnosis Combining Particle Filtering and Parametric Identification
- Power Plant Operator Assistant: An Industrial Application of Factored MDPs
- Vision
- Scene Modeling by ICA and Color Segmentation
- Non-parametric Registration as a Way to Obtain an Accurate Camera Calibration
- A Probability-Based Flow Analysis Using MV Information in Compressed Domain
- How Does the Hue Contribute to Construct Better Colour Features?
- Morphological Contrast Measure and Contrast Mappings: One Application to the Segmentation of Brain MRI
- Gaze Detection by Dual Camera and Dual IR-LED Illuminators
- Image Processing and Neural Networks for Early Detection of Histological Changes
- An Improved ICP Algorithm Based on the Sensor Projection for Automatic 3D Registration
- Structure and Motion Recovery Using Two Step Sampling for 3D Match Move
- Multiscale Image Enhancement and Segmentation Based on Morphological Connected Contrast Mappings
- Active Object Recognition Using Mutual Information
- An Approach to Automatic Morphing of Face Images in Frontal View
- Evolutionary Computation
- A Study of the Parallelization of a Coevolutionary Multi-objective Evolutionary Algorithm
- Reactive Agents to Improve a Parallel Genetic Algorithm Solution
- Simple Feasibility Rules and Differential Evolution for Constrained Optimization
- Symbolic Regression Problems by Genetic Programming with Multi-branches
- A Preprocessing That Combines Heuristic and Surrogate Constraint Analysis to Fix Variables in TSP
- An Evolutionary Algorithm for Automatic Spatial Partitioning in Reconfigurable Environments
- GA with Exaptation: New Algorithms to Tackle Dynamic Problems
- Modeling and Intelligent Control
- Intelligent Control Algorithm for Steam Temperature Regulation of Thermal Power Plants
- A Fed-Batch Fermentation Process Identification and Direct Adaptive Neural Control with Integral Term
- A Fuzzy-Neural Multi-model for Mechanical Systems Identification and Control
- Tuning of Fuzzy Controllers
- Predictive Control of a Solar Power Plant with Neuro-Fuzzy Identification and Evolutionary Programming Optimization
- Modeling of a Coupled Industrial Tank System with ANFIS
- Neural Networks
- Robust Bootstrapping Neural Networks
- A Kernel Method for Classification
- Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks
- Combining MLP and RBF Neural Networks for Novelty Detection in Short Time Series
- Treatment of Gradual Knowledge Using Sigma-Pi Neural Networks
- Robotics
- A Method to Obtain Sensing Requirements in Robotic Assemblies by Geometric Reasoning
- Intelligent Task Level Planning for Robotic Assembly: Issues and Experiments
- Wrapper Components for Distributed Robotic Systems
- Fuzzy Sliding Mode Control of Robotic Manipulators Based on Genetic Algorithms
- Collective Behavior as Assembling of Spatial Puzzles
- Towards Derandomizing PRM Planners
- Analysing Spectroscopic Data Using Hierarchical Cooperative Maximum Likelihood Hebbian Learning
- Feature Selection-Ranking Methods in a Very Large Electric Database
- Automatic Case Adaptation with a Hybrid Committee Approach
- Class Imbalances versus Class Overlapping: An Analysis of a Learning System Behavior
- Advanced Clustering Technique for Medical Data Using Semantic Information
- Multiagent Systems and Distributed AI
- Strict Valued Preference Relations and Choice Functions in Decision-Making Procedures
- Adaptation in the Presence of Exogeneous Information in an Artificial Financial Market
- Design Patterns for Multiagent Systems Design
- A Faster Optimal Allocation Algorithm in Combinatorial Auctions
- An Agent Based Framework for Modelling Neuronal Regulators of the Biological Systems
- Possibilistic Reasoning and Privacy/Efficiency Tradeoffs in Multi-agent Systems
- Natural Language
- A Biologically Motivated and Computationally Efficient Natural Language Processor
- A Question-Answering System Using Argumentation
- Automatic Building of a Machine Translation Bilingual Dictionary Using Recursive Chain-Link-Type Learning from a Parallel Corpus
- Recognition of Named Entities in Spanish Texts
- Automatic Enrichment of Very Large Dictionary of Word Combinations on the Basis of Dependency Formalism
- Towards an Efficient Evolutionary Decoding Algorithm for Statistical Machine Translation
- The Role of Imperatives in Inference, Agents, and Actions
- Automatic Multilinguality for Time Expression Resolution
- AQUA - Ontology-Based Question Answering System
- Phrase Chunking for Efficient Parsing in Machine Translation System
- Uncertainty Reasoning
- Motion Planning Based on Geometric Features
- Comparative Evaluation of Temporal Nodes Bayesian Networks and Networks of Probabilistic Events in Discrete Time
- Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning
- Causal Identification in Design Networks
- Bayes-N: An Algorithm for Learning Bayesian Networks from Data Using Local Measures of Information Gain Applied to Classification Problems
- Methodology for Handling Uncertainty by Using Interval Type-2 Fuzzy Logic Systems
- Online Diagnosis Using Influence Diagrams
- Toward a New Approach for Online Fault Diagnosis Combining Particle Filtering and Parametric Identification
- Power Plant Operator Assistant: An Industrial Application of Factored MDPs
- Vision
- Scene Modeling by ICA and Color Segmentation
- Non-parametric Registration as a Way to Obtain an Accurate Camera Calibration
- A Probability-Based Flow Analysis Using MV Information in Compressed Domain
- How Does the Hue Contribute to Construct Better Colour Features?
- Morphological Contrast Measure and Contrast Mappings: One Application to the Segmentation of Brain MRI
- Gaze Detection by Dual Camera and Dual IR-LED Illuminators
- Image Processing and Neural Networks for Early Detection of Histological Changes
- An Improved ICP Algorithm Based on the Sensor Projection for Automatic 3D Registration
- Structure and Motion Recovery Using Two Step Sampling for 3D Match Move
- Multiscale Image Enhancement and Segmentation Based on Morphological Connected Contrast Mappings
- Active Object Recognition Using Mutual Information
- An Approach to Automatic Morphing of Face Images in Frontal View
- Evolutionary Computation
- A Study of the Parallelization of a Coevolutionary Multi-objective Evolutionary Algorithm
- Reactive Agents to Improve a Parallel Genetic Algorithm Solution
- Simple Feasibility Rules and Differential Evolution for Constrained Optimization
- Symbolic Regression Problems by Genetic Programming with Multi-branches
- A Preprocessing That Combines Heuristic and Surrogate Constraint Analysis to Fix Variables in TSP
- An Evolutionary Algorithm for Automatic Spatial Partitioning in Reconfigurable Environments
- GA with Exaptation: New Algorithms to Tackle Dynamic Problems
- Modeling and Intelligent Control
- Intelligent Control Algorithm for Steam Temperature Regulation of Thermal Power Plants
- A Fed-Batch Fermentation Process Identification and Direct Adaptive Neural Control with Integral Term
- A Fuzzy-Neural Multi-model for Mechanical Systems Identification and Control
- Tuning of Fuzzy Controllers
- Predictive Control of a Solar Power Plant with Neuro-Fuzzy Identification and Evolutionary Programming Optimization
- Modeling of a Coupled Industrial Tank System with ANFIS
- Neural Networks
- Robust Bootstrapping Neural Networks
- A Kernel Method for Classification
- Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks
- Combining MLP and RBF Neural Networks for Novelty Detection in Short Time Series
- Treatment of Gradual Knowledge Using Sigma-Pi Neural Networks
- Robotics
- A Method to Obtain Sensing Requirements in Robotic Assemblies by Geometric Reasoning
- Intelligent Task Level Planning for Robotic Assembly: Issues and Experiments
- Wrapper Components for Distributed Robotic Systems
- Fuzzy Sliding Mode Control of Robotic Manipulators Based on Genetic Algorithms
- Collective Behavior as Assembling of Spatial Puzzles
- Towards Derandomizing PRM Planners
... weniger
Bibliographische Angaben
- 2004, 2004., 930 Seiten, Masse: 15,6 x 23,6 cm, Kartoniert (TB), Englisch
- Herausgegeben:Monroy, Raúl; Arroyo-Figueroa, Gustavo; Sucar, Luis Enrique; Sossa, Humberto
- Verlag: Springer
- ISBN-10: 3540214593
- ISBN-13: 9783540214595
- Erscheinungsdatum: 08.04.2004
Sprache:
Englisch
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