| Document Type
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BL
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| Record Number
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1005689
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| Doc. No
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b760059
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| Title & Author
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Optimized Bayesian Dynamic Advising : : Theory and Algorithms.
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| Publication Statement
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London :: Springer-Verlag London Ltd.,, 2006.
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| Series Statement
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Advanced Information and Knowledge Processing
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| Page. NO
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1 online resource (volumes)
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| ISBN
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1846282543
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: 9781846282546
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9781846282546
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9781852339289
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| Bibliographies/Indexes
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Includes bibliographical references (pages 511-521) and index.
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| Contents
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Underlying theory -- Approximate and feasible learning -- Approximate design -- Problem formulation -- Solution and principles of its approximation: learning part -- Solution and principles of its approximation: design part -- Learning with normal factors and components -- Design with normal mixtures -- Learning with Markov-chain factors and components -- Design with Markov-chain mixtures -- Sandwich BMTB for mixture initiation -- Mixed mixtures -- Applications of the advisory system -- Concluding remarks.
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| Abstract
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Accompanying CD-ROM ... "contains a specialized Matlab-based Mixtools toolbox, and examples illustrating the most important and complex areas of the material presented."--Page 4 of cover.
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| Subject
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Artificial intelligence.
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Computer science.
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Computer simulation.
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| Subject
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Mathematical statistics.
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Optical pattern recognition.
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| Subject
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Statistique bayésienne.
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| Subject
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Artificial intelligence.
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| Subject
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Computer science.
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| Subject
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Computer simulation.
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| Subject
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Mathematical statistics.
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| Subject
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Optical pattern recognition.
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| Dewey Classification
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519.542
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| LC Classification
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QA75.5-76.95
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