Cargando…
Optimized Bayesian Dynamic Advising Theory and Algorithms /
Written by one of the world's leading groups in the area of Bayesian identification, control and decision making, this book provides the theoretical and algorithmic basis of optimized probabilistic advising. Starting from abstract ideas and formulations, and culminating in detailed algorithms,...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2006.
|
| Edición: | 1st ed. 2006. |
| Colección: | Advanced Information and Knowledge Processing,
|
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-84628-254-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220118020924.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2006 xxk| s |||| 0|eng d | ||
| 020 | |a 9781846282546 |9 978-1-84628-254-6 | ||
| 024 | 7 | |a 10.1007/1-84628-254-3 |2 doi | |
| 050 | 4 | |a QA75.5-76.95 | |
| 072 | 7 | |a UYA |2 bicssc | |
| 072 | 7 | |a COM069000 |2 bisacsh | |
| 072 | 7 | |a UYA |2 thema | |
| 082 | 0 | 4 | |a 004.0151 |2 23 |
| 245 | 1 | 0 | |a Optimized Bayesian Dynamic Advising |h [electronic resource] : |b Theory and Algorithms / |c edited by Miroslav Karny. |
| 250 | |a 1st ed. 2006. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2006. | |
| 300 | |a XVII, 529 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Advanced Information and Knowledge Processing, |x 2197-8441 | |
| 505 | 0 | |a 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. | |
| 520 | |a Written by one of the world's leading groups in the area of Bayesian identification, control and decision making, this book provides the theoretical and algorithmic basis of optimized probabilistic advising. Starting from abstract ideas and formulations, and culminating in detailed algorithms, Optimized Bayesian Dynamic Advising comprises a unified treatment of an important problem of the design of advisory systems supporting supervisors of complex processes. It introduces the theoretical and algorithmic basis of developed advising, relying on novel and powerful combination black-box modeling by dynamic mixture models and fully probabilistic dynamic optimization. The proposed non-standard problem formulation and its solution mark a significant contribution to the design of anthropocentric automation systems. Written for a broad audience, including developers of algorithms and application engineers, researchers, lecturers and postgraduates, this book can be used as a reference tool, and an advanced text on Bayesian dynamic decision making. | ||
| 650 | 0 | |a Computer science. | |
| 650 | 0 | |a User interfaces (Computer systems). | |
| 650 | 0 | |a Human-computer interaction. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer simulation. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Mathematical statistics-Data processing. | |
| 650 | 1 | 4 | |a Models of Computation. |
| 650 | 2 | 4 | |a User Interfaces and Human Computer Interaction. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computer Modelling. |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Statistics and Computing. |
| 700 | 1 | |a Karny, Miroslav. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781848008335 |
| 776 | 0 | 8 | |i Printed edition: |z 9781852339289 |
| 776 | 0 | 8 | |i Printed edition: |z 9781447156758 |
| 830 | 0 | |a Advanced Information and Knowledge Processing, |x 2197-8441 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/1-84628-254-3 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||