Miroslav Karny (ed.)

Optimized Bayesian Dynamic Advising

Theory and Algorithms
Ed. by M. Karny

• Gebundenes Buch

Produktbeschreibung

A state-of-the-art research monograph providing consistent treatment of supervisory control, by one of the world s leading groups in the area of Bayesian identification, control, and decision making.

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Produktdetails

• Advanced Information and Knowledge Processing
• Verlag: Springer, Berlin
• Artikelnr. des Verlages: 10992333
• 2006 edition
• Seitenzahl: 529
• Erscheinungstermin: 10. Oktober 2005
• Englisch
• Abmessung: 245mm x 162mm x 32mm
• Gewicht: 930g
• ISBN-13: 9781852339289
• ISBN-10: 1852339284
• Artikelnr.: 13923234

Autorenporträt

Miroslav Karny, Academy of Sciences of the Czech Republic, Prague, Czech Republic

Inhaltsangabe

Introduction.- Underlying Theory.- Approximate and Feasible Learning.- Approximate Design.- Problem Formulation.- Solution and Principles of its Approximation: Learning.- Solution and Principles of its Approximation: Design.- 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.- Conclusions.- References.- Index.