000 05522nam a22004815i 4500
001 978-3-540-34630-2
003 DE-He213
005 20160624101930.0
007 cr nn 008mamaa
008 110215s2006 gw | s |||| 0|eng d
020 _a9783540346302
_9978-3-540-34630-2
024 7 _a10.1007/11766247
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aAdvances in Artificial Intelligence
_h[electronic resource] :
_b19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Québec City, Québec, Canada, June 7-9, 2006. Proceedings /
_cedited by Luc Lamontagne, Mario Marchand.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2006.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2006.
300 _aXIV, 566 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4013
505 0 _aAgents -- 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 -- User Modeling -- MITS: A Mixed-Initiative Intelligent Tutoring System for Sudoku.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aLamontagne, Luc.
_eeditor.
700 1 _aMarchand, Mario.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540346289
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4013
856 4 0 _uhttp://dx.doi.org/10.1007/11766247
942 _2EBK4118
_cEBK
999 _c33412
_d33412