Efficient Entropy-Based Decoding
Algorithms For Higher-Order Hidden
Markov Model

Efficient Entropy-Based Decoding Algorithms For Higher-Order Hidden Markov Model

Higher-order Hidden Markov model (HHMM) has a higher prediction accuracy than the first-order Hidden Markov model (HMM). This is due to more exploration of the historical state information for predicting the next state found in HHMM. State sequence for HHMM is invisible but the classical Viterbi...

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書目詳細資料
主要作者:	Chan, Chin Tiong
格式:	Thesis
語言:	English
出版:	2019
主題:	QA273-280 Probabilities Mathematical statistics
在線閱讀:	http://eprints.usm.my/61146/1/Efficient%20entropy%20based%20decoding%20cut.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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