Advances in Artificial Intelligence - nuovo livro

EAN (ISBN-13): 9783540346302
Ano de publicação: 2006
Editor/Editora: Springer Berlin Heidelberg

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Número ISBN/EAN: 9783540346302

Número ISBN - Ortografia alternativa:
978-3-540-34630-2
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: marchand
Título do livro: conference quebec, canadian studies, intelligence studies

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Dados da editora

Autor: Luc Lamontagne; Mario Marchand
Título: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Advances in Artificial Intelligence - 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Quebec City, Quebec, Canada, June 7-9, Proceedings
Editora: Springer; Springer Berlin
566 Páginas
Ano de publicação: 2006-05-31
Berlin; Heidelberg; DE
Língua: Inglês
53,49 € (DE)
55,00 € (AT)
59,00 CHF (CH)
Available
XIV, 566 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; AI planning; algorithms; classification; clustering; cognition; constraint problem solving; grammar; knowledge representation; learning; machine learning; modeling; multi-agent systems; multiagent systems; neural network; optimization; C; Artificial Intelligence; Computer Science; BC

Agents.- Integrating Information Gathering Interaction into Transfer of Control Strategies in Adjustable Autonomy Multiagent Systems.- A Pruning-Based Algorithm for Computing Optimal Coalition Structures in Linear Production Domains.- A Smart Home Agent for Plan Recognition.- Using Multiagent Systems to Improve Real-Time Map Generation.- An Efficient Resource Allocation Approach in Real-Time Stochastic Environment.- Satisfaction Equilibrium: Achieving Cooperation in Incomplete Information Games.- How Artificial Intelligent Agents Do Shopping in a Virtual Mall: A ‘Believable’ and ‘Usable’ Multiagent-Based Simulation of Customers’ Shopping Behavior in a Mall.- Bioinformatics.- A New Profile Alignment Method for Clustering Gene Expression Data.- A Classification-Based Glioma Diffusion Model Using MRI Data.- Bayesian Learning for Feed-Forward Neural Network with Application to Proteomic Data: The Glycosylation Sites Detection of the Epidermal Growth Factor-Like Proteins Associated with Cancer as a Case Study.- Constraint Satisfaction and Search.- Relaxation of Soft Constraints Via a Unified Semiring.- Intelligent Information Personalization Leveraging Constraint Satisfaction and Association Rule Methods.- On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT.- Simple Support-Based Distributed Search.- Knowledge Representation and Reasoning.- Modeling Causal Reinforcement and Undermining with Noisy-AND Trees.- An Improved LAZY-AR Approach to Bayesian Network Inference.- Four-Valued Semantics for Default Logic.- Exploiting Dynamic Independence in a Static Conditioning Graph.- Probabilistic Melodic Harmonization.- Learning Bayesian Networks in Semi-deterministic Systems.- Progressive Defeat Paths in Abstract Argumentation Frameworks.-Natural Language.- Parsing Korean Honorification Phenomena in a Typed Feature Structure Grammar.- Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity.- Unsupervised Labeling of Noun Clusters.- Language Patterns in the Learning of Strategies from Negotiation Texts.- Using Natural Language Processing to Assist the Visually Handicapped in Writing Compositions.- Text Compression by Syntactic Pruning.- Beyond the Bag of Words: A Text Representation for Sentence Selection.- Sentiment Tagging of Adjectives at the Meaning Level.- Reinforcement Learning.- Adaptive Fraud Detection Using Benford’s Law.- Partial Local FriendQ Multiagent Learning: Application to Team Automobile Coordination Problem.- Trace Equivalence Characterization Through Reinforcement Learning.- Belief Selection in Point-Based Planning Algorithms for POMDPs.- Supervised and Unsupervised Learning.- Learning and Evaluation in the Presence of Class Hierarchies: Application to Text Categorization.- Adaptive Clustering Algorithms.- Classification Based on Logical Concept Analysis.- Machine Learning in a Quantum World.- A New Attempt to Silhouette-Based Gait Recognition for Human Identification.- Learning Naïve Bayes Tree for Conditional Probability Estimation.- On the Performance of Chernoff-Distance-Based Linear Dimensionality Reduction Techniques.- Discriminative vs. Generative Classifiers for Cost Sensitive Learning.- The K Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization.- Learning Naive Bayes for Probability Estimation by Feature Selection.- Lazy Averaged One-Dependence Estimators.- Probabilistic Inference Trees for Classification and Ranking.- Parameter Estimation of One-Class SVM on Imbalance Text Classification.- UserModeling.- MITS: A Mixed-Initiative Intelligent Tutoring System for Sudoku.