Posted by **ChrisRedfield** at April 25, 2015

Published: 2009-04-28 | ISBN: 1584885734 | PDF | 269 pages | 2 MB

Posted by **puliraja** at June 18, 2009

Walter Zucchini, Iain L. MacDonald | Chapman & Hall/CRC | 2009-04-28 | ISBN:1584885734 | Pages: 269 | PDF | 5.3MB

This book illustrates the wonderful flexibility of HMMs as general-purpose models for time series data. It presents an accessible overview of HMMs for analyzing time series data, from continuous-valued, circular, and multivariate series to binary data, bounded and unbounded counts, and categorical observations. It explores a variety of applications in animal behavior, finance, epidemiology, climatology, and sociology. The authors discuss how to employ the freely available computing environment R to carry out computations for parameter estimation, model selection and checking, decoding, and forecasting. They provide all of the data sets analyzed in the text online.

Posted by **BUGSY** at May 27, 2015

English | Nov 30, 2001 | ISBN: 1402001363 | 404 Pages | DJVU | 2 MB

The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models…

Posted by **nebulae** at Dec. 25, 2015

English | ISBN: 1439817081 | 2012 | 252 pages | PDF | 2 MB

Posted by **DZ123** at Oct. 25, 2015

English | 2008 | ISBN: 1601981201 | PDF | pages: 124 | 1,6 mb

Posted by **Underaglassmoon** at March 21, 2015

Springer | Applied Mathematics | Feb. 17 2015 | ISBN-10: 9812874100 | 99 pages | pdf | 4.4 mb

by Anthony Mihirana De Silva (Author), Philip H. W. Leong (Author)

This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation.

Posted by **step778** at Feb. 26, 2015

2008 | pages: 374 | ISBN: 0387943641 | PDF | 5,4 mb

Posted by **manamba13** at Feb. 24, 2015

English | 2008 | ISBN: 1584886846 | 156 Pages | PDF | 9 MB

Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models in Bioinformatics focuses on how to choose and use various methods and programs available for hidden Markov models (HMMs).

Posted by **libr** at Sept. 10, 2014

English | 2014 | ISBN: 1489974415 | 261 pages | PDF | 4,6 MB

Since the groundbreaking research of Harry Markowitz into the application of operations research to the optimization of investment portfolios, finance has been one of the most important areas of application of operations research. The use of hidden Markov models (HMMs) has become one of the hottest areas of research for such applications to finance.

Posted by **ChrisRedfield** at Aug. 13, 2014

Published: 2007-04-24 | ISBN: 0387710817, 1441943803 | PDF | 186 pages | 3 MB