Noble Wilford John Bayesian Networks. An Introduction
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Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has been extensively tested in
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Bruce Marcot Bayesian Networks
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Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields for the purposes of analysis, simulation, prediction and diagnosis. This book provides a general
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Peter Lee M. Bayesian Statistics. An Introduction
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Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee’s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques. This
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Franco Taroni Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science
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"This book should have a place on the bookshelf of every forensic scientist who cares about the science of evidence interpretation" Dr. Ian Evett, Principal Forensic Services Ltd, London, UK Continuing developments in science and technology mean that the amounts of information forensic scientists
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Computing Power Networks: An In-Depth Guide
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Rainer Merkl Bioinformatik Interaktiv
Купить за 7406.03 RUR
The second edition of this successful textbook, completely revised and largely expanded. In particular the section on the analysis of genome data is covered in much greater depth and chapters added on machine learning, Bayesian networks, protein and enzyme designs as well as the evaluation of
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Mikhail Kanevski Advanced Mapping of Environmental Data
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This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping,
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John Sheffield The poetical works
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Полный вариант заголовка: «The poetical works of the most noble John Sheffield, duke of Buckingham : with the life of the author».
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Python Bayesian Analysis
Купить за 2100 RUR
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Oliver Ibe C. Fundamentals of Stochastic Networks
Купить за 13543.57 RUR
An interdisciplinary approach to understanding queueing and graphical networks In today's era of interdisciplinary studies and research activities, network models are becoming increasingly important in various areas where they have not regularly been used. Combining techniques from stochastic
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John Gay SSFIPS Securing Cisco Networks with Sourcefire Intrusion Prevention System Study Guide
Купить за 6465.68 RUR
Up the ante on your FirePOWER with Advanced FireSIGHT Administration exam prep Securing Cisco Networks with Sourcefire IPS Study Guide, Exam 500-285, provides 100% coverage of the FirePOWER with Advanced FireSIGHT Administration exam objectives. With clear and concise information regarding crucial
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Ioannis Ntzoufras Bayesian Modeling Using WinBUGS
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A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an accessible treatment of the topic,
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