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| 001 | 978-3-540-34630-2 | ||
| 003 | DE-He213 | ||
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_a9783540346302 _9978-3-540-34630-2 |
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_a10.1007/11766247 _2doi |
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| 050 | 4 | _aTA347.A78 | |
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_aAdvances in Artificial Intelligence _h[electronic resource] : _b19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Quebec City, Quebec, Canada, June 7-9, Proceedings / _cedited by Luc Lamontagne, Mario Marchand. |
| 250 | _a1st ed. 2006. | ||
| 264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2006. |
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| 300 |
_aXIV, 566 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4013 |
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| 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 -- UserModeling -- MITS: A Mixed-Initiative Intelligent Tutoring System for Sudoku. | |
| 650 | 0 |
_aArtificial intelligence. _93407 |
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| 650 | 1 | 4 |
_aArtificial Intelligence. _93407 |
| 700 | 1 |
_aLamontagne, Luc. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9127736 |
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| 700 | 1 |
_aMarchand, Mario. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9127737 |
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| 710 | 2 |
_aSpringerLink (Online service) _9127738 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540346289 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783540824862 |
| 830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4013 _9127739 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/11766247 |
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