Posted by **arundhati** at Dec. 9, 2016

2016 | ISBN-10: 1482253836 | 398 pages | PDF | 46 MB

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 **arundhati** at Oct. 23, 2017

2014 | ISBN-10: 1447163079 | 300 pages | PDF | 3,8 MB

Posted by **AlenMiler** at April 12, 2017

English | 9 Apr. 2017 | ASIN: B06Y5F38P3 | 238 Pages | PDF | 2.01 MB

Posted by **ChrisRedfield** at March 25, 2014

Published: 2014-01-28 | ISBN: 1447163079 | PDF | 300 pages | 3 MB

Posted by **arundhati** at Feb. 13, 2014

2014 | ISBN-10: 1447163079 | 300 pages | PDF | 3,8 MB

Posted by **AvaxGenius** at Nov. 21, 2017

English | PDF,EPUB | 2017 (2018 Edition) | 103 Pages | ISBN : 3319712632 | 9.15 MB

This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. This book describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction. Interval type-2 and type-1 fuzzy systems are used to integrate the outputs of the Ensemble of Interval Type-2 Fuzzy Neural Network models. Genetic Algorithms and Particle Swarm Optimization are the Bio-Inspired algorithms used for the optimization of the fuzzy response integrators.

Posted by **libr** at Oct. 22, 2017

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