Posted by **tanas.olesya** at Dec. 22, 2014

English | December 5, 2005 | ISBN: 0387293353 | 222 Pages | PDF | 1 MB

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models.

Posted by **interes** at Nov. 25, 2014

English | 2013 | ISBN-10: 1461463114 | 260 pages | PDF | 2 MB

Posted by **interes** at Aug. 2, 2014

English | 2013 | ISBN-10: 1461463114 | 260 pages | PDF | 2 MB

This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatted as a text, complete with end-of-chapter exercises, a new focus on management science, new applications of the models, and new examples with applications in financial risk management and modeling of financial data.

Posted by **arundhati** at Oct. 7, 2013

2013 | ISBN-10: 1461463114 | 260 pages | PDF | 3,2 MB

Posted by **ChrisRedfield** at Aug. 11, 2013

Published: 2013-03-28 | ISBN: 1461463114 | PDF | 260 pages | 3 MB

Posted by **avava** at June 2, 2013

ISBN: 1461463114 | 2013 | PDF | 258 pages | 4.4 MB

Posted by **Lebedev30** at Aug. 17, 2017

Posted by **AvaxGenius** at Aug. 16, 2017

English | PDF | 2017 | 116 Pages | ISBN : 3319646702 | 3.81 MB

This book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for estimating dynamic mixtures of various distributions and brings them in the unified form, providing a scheme for constructing the estimation algorithm for a mixture of components modeled by distributions with reproducible statistics.

Posted by **First1** at Aug. 13, 2017

English | August 19th, 2016 | ASIN: B01KORWQH8, ISBN: 1498705383 | 227 pages | AZW3 | 7.36 MB

Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material.

Posted by **AvaxGenius** at Aug. 11, 2017

English| PDF | 2017 | 836 Pages | ISBN : 3319654810 | 81.78 MB

This book constitutes the proceedings of the 17th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2017, held in Helsinki, Finland, in August 2017.

The 25 full papers presented were carefully reviewed and selected from 117 submissions.