The variational Bayes method in signal processing (Record no. 2076)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01683nam a22002177a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240216152637.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240216b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783642066900(PB) |
| 041 ## - LANGUAGE CODE | |
| Language code of original | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Item number | SMI |
| Classification number | 006.3 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Smidl, Vaclav |
| 245 ## - TITLE STATEMENT | |
| Title | The variational Bayes method in signal processing |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Berlin |
| Name of publisher, distributor, etc. | Springer |
| Date of publication, distribution, etc. | 2011 |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Signals and communication technology |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Bayesian Theory.- Off-line Distributional Approximations and the Variational Bayes Method.- Principal Component Analysis and Matrix Decompositions.- Functional Analysis of Medical Image Sequences.- On-line Inference of Time-Invariant Parameters.- On-line Inference of Time-Variant Parameters.- The Mixture-based Extension of the AR Model (MEAR).- Concluding Remarks. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Synthesizes the Variational Bayes (VB) method of distributional approximation into eight clear steps ("the VB method"). When these are followed, the reader is equipped with the means to check if their model is amenable to this approximation, and to develop the approximation in a systematic way<br/><br/>Presents some very basic toy problems involving scalar decompositions, which give insight into the nature of the method in full applications<br/><br/>Employs the VB method in off-line and on-line scenarios in a standard and systematic way, allowing the results in each case to be compared with ease<br/><br/>Derives all necessary results in Bayesian methods, avoiding unnecessary elaboration and making the book self-contained |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Bayesian statistical decision theory |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Signal processing Statistical methods |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Quinn,Anthony |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| -- | 6142 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Non-fiction | IIITDM Kurnool | IIITDM Kurnool | 16.02.2024 | Narendra Publishing House | 5455.85 | NPH/23-24/IN-00392 DATED 26.12.2 | 006.3 SMI | 0005327 | 16.02.2024 | 5555.85 | 16.02.2024 | Books |