第 1/1 張圖片
第 1/1 張圖片
Andrew M. Frase Hidden Markov Models and Dynamical Syste (Paperback) (UK IMPORT)
Rarewaves
- （578594）
US $103.44
大約HK$ 807.94
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所在地：GU14 0GT, 英國
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- Book Title
- Hidden Markov Models and Dynamical Systems
- Title
- Hidden Markov Models and Dynamical Systems
- EAN
- 9780898716658
- ISBN
- 9780898716658
- Release Date
- 03/19/2009
- Release Year
- 2009
- Country/Region of Manufacture
- US
- Genre
- Science Nature & Math
- Subject Area
- Mathematics, Science
- Publication Name
- Hidden Markov Models and Dynamical Systems
- Publisher
- Society for Industrial AND Applied Mathematics
- Item Length
- 9.7 in
- Subject
- Probability & Statistics / Stochastic Processes, Mechanics / Dynamics, General
- Publication Year
- 2008
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.3 in
- Item Weight
- 9.5 Oz
- Item Width
- 6.9 in
- Number of Pages
- 144 Pages
關於產品
Product Identifiers
Publisher
Society for Industrial AND Applied Mathematics
ISBN-10
0898716659
ISBN-13
9780898716658
eBay Product ID (ePID)
71710515
Product Key Features
Number of Pages
144 Pages
Publication Name
Hidden Markov Models and Dynamical Systems
Language
English
Publication Year
2008
Subject
Probability & Statistics / Stochastic Processes, Mechanics / Dynamics, General
Type
Textbook
Subject Area
Mathematics, Science
Format
Trade Paperback
Dimensions
Item Height
0.3 in
Item Weight
9.5 Oz
Item Length
9.7 in
Item Width
6.9 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2008-028742
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.2/33
Table Of Content
Preface Chapter 1: Introduction Chapter 2: Basic Algorithms: Chapter 3: Variants and Generalizations Chapter 4: Continuous States and Observations and Kalman Filtering Chapter 5: Performance Bounds and a Toy Problem Chapter 6: Obstructive Sleep Apnea Appendix A: Formulas for Matrices and Gaussians Appendix B: Notes on Software Bibliography Index
Synopsis
Features illustrations that use the Lorenz system, laser data, and natural language data. The concluding chapter presents the application of HMMs to detecting sleep apnea in experimentally measured electrocardiograms. Algorithms are given in pseudocode in the text, and a working implementation of each algorithm is available on the accompanying website., Hidden Markov models (HMMs) are discrete-state, discrete-time, stochastic dynamical systems. They are often used to approximate systems with continuous state spaces operating in continuous time. In addition to introducing the basic ideas of HMMs and algorithms for using them, this book explains the derivations of the algorithms with enough supporting theory to enable readers to develop their own variants. The book also presents Kalman filtering as an extension of ideas from basic HMMs to models with continuous state spaces. Although applications of HMMs have become numerous (396,000 Google hits) since they emerged as the key technology for speech recognition in the 1980s, no introductory book on HMMs in general is available. This text aims to fill that gap. Hidden Markov Models and Dynamical Systems features illustrations that use the Lorenz system, laser data, and natural language data. The concluding chapter presents the application of HMMs to detecting sleep apnea in experimentally measured electrocardiograms. Algorithms are given in pseudocode in the text, and a working implementation of each algorithm is available on the accompanying website.
LC Classification Number
QA274.7 .F726 2008
ebay_catalog_id
4
Copyright Date
2008
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增值稅識別編號：
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