Ditemukan 1 dokumen yang sesuai dengan query
Fraser, Andrew M.
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Hidden Markov models (HMMs) are discrete-state, discrete-time, stochastic dynamical systems. They are often used to approximate systems with continuous state spaces operating in continuous time. In addition to introducing the basic ideas of HMMs and algorithms for using them, this book explains the derivations of the algorithms with enough supporting theory to enable readers to develop their own variants. The book also presents Kalman filtering as an extension of ideas from basic HMMs to models ...
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Philadelphia: Society for Industrial and Applied Mathematics, 2008
e20450784
eBooks Universitas Indonesia Library
