Titlebook: Mixture and Hidden Markov Models with R; Ingmar Visser,Maarten Speekenbrink Textbook 2022 Springer Science+Business Media, LLC, part of Sp

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書目名稱Mixture and Hidden Markov Models with R影響因子(影響力)




書目名稱Mixture and Hidden Markov Models with R影響因子(影響力)學科排名




書目名稱Mixture and Hidden Markov Models with R網絡公開度




書目名稱Mixture and Hidden Markov Models with R網絡公開度學科排名




書目名稱Mixture and Hidden Markov Models with R被引頻次




書目名稱Mixture and Hidden Markov Models with R被引頻次學科排名




書目名稱Mixture and Hidden Markov Models with R年度引用




書目名稱Mixture and Hidden Markov Models with R年度引用學科排名




書目名稱Mixture and Hidden Markov Models with R讀者反饋




書目名稱Mixture and Hidden Markov Models with R讀者反饋學科排名

neurologist

2197-5736 such as financial time series and climate data. Most examples illustrate the use of the authors’ depmixS4 package, which provides a flexible framework to construct and estimate mixture and hidden Markov models.978-3-031-01440-6Series ISSN 2197-5736 Series E-ISSN 2197-5744

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Springer Science+Business Media, LLC, part of Springer Nature 2022

MUT

四指套

Use R!http://image.papertrans.cn/m/image/635248.jpg

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摘要記錄

Textbook 2022useful when an observed system occupies a number of distinct “regimes” or unobserved (hidden) states. These models are widely used in a variety of fields, including artificial intelligence, biology, finance, and psychology. Hidden Markov models can be viewed as an extension of mixture models, to mod

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reflection

Aflatoxin Biosynthesis,omplicated process involving a chain of reactions which are catalyzed by various enzymes encoded by genes present on aflatoxin cluster. The genetic variations among different fungal strains can impact the final compound being produced. This chapter focuses on the biosynthetic pathway for aflatoxin p