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|a QA279.5
|b .O68 2006
|
| 245 |
0 |
0 |
|a Optimized Bayesian dynamic advising :
|b theory and algorithms /
|c Miroslav Kárný (ed.) ; with Josef Böhm ... [et al.].
|
| 260 |
|
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|a London :
|b Springer,
|c c2006.
|
| 300 |
|
|
|a xv, 529 p. ;
|c 25 cm. +
|e 1 CD-ROM (4 3/4 in.)
|
| 336 |
|
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|a text
|b txt
|2 rdacontent
|0 http://id.loc.gov/vocabulary/contentTypes/txt
|
| 337 |
|
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|a unmediated
|b n
|2 rdamedia
|0 http://id.loc.gov/vocabulary/mediaTypes/n
|
| 338 |
|
|
|a volume
|b nc
|2 rdacarrier
|0 http://id.loc.gov/vocabulary/carriers/nc
|
| 440 |
|
0 |
|a Advanced information and knowledge processing
|
| 505 |
0 |
0 |
|g 1.
|t Introduction --
|g 2.
|t Underlying theory --
|g 3.
|t Approximate and feasible learning --
|g 4.
|t Approximate design --
|g 5.
|t Problem formulation --
|g 6.
|t Solution and principles of its approximation : learning part --
|g 7.
|t Solution and principles of its approximation : design part --
|g 8.
|t Learning with normal factors and components --
|g 9.
|t Design with normal mixtures --
|g 10.
|t Learning with Markov-chain factors and components --
|g 11.
|t Design with Markov-chain mixtures --
|g 12.
|t Sandwich BMTB for mixture initiation --
|g 13.
|t Mixed mixtures --
|g 14.
|t Applications of the advisory system --
|g 15.
|t Concluding remarks.
|
| 538 |
|
|
|a System requirements: MATLAB 6.5+, Adobe Acrobat Reader 5+.
|
| 650 |
|
0 |
|a Bayesian statistical decision theory.
|0 http://id.loc.gov/authorities/subjects/sh85012506
|
| 650 |
|
7 |
|a Bayesian statistical decision theory.
|2 fast
|0 http://id.worldcat.org/fast/fst00829019
|
| 700 |
1 |
|
|a Kárný, Miroslav.
|0 http://id.loc.gov/authorities/names/n83215081
|1 http://viaf.org/viaf/46822694
|
| 901 |
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|a ToCBNA
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|t Library of Congress classification
|a QA279.5.O68 2006
|l ASR
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|a QA279.5.O68 2006
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|a QA279.5.O68 2006
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