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On the Learnability of Hidden Markov Models
2002A simple result is presented that links the learning of hidden Markov models to results in complexity theory about nonlearnability of finite automata under certain cryptographic assumptions. Rather than considering all probability distributions, or even just certain specific ones, the learning of a hidden Markov model takes place under a distribution ...
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Proceedings of the International Conference & Workshop on Emerging Trends in Technology, 2011
This paper focuses on concept of Hidden Markov Model and its practical applications, with the detailed description of HMM based algorithms used in Named Entity Recognition. This paper is comprised of 9 sections. Section 1 provides brief introduction about Hidden Markov Model, Section 2 describes HMM in detail by making use of a practical problem ...
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This paper focuses on concept of Hidden Markov Model and its practical applications, with the detailed description of HMM based algorithms used in Named Entity Recognition. This paper is comprised of 9 sections. Section 1 provides brief introduction about Hidden Markov Model, Section 2 describes HMM in detail by making use of a practical problem ...
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Substitution Matrices and Hidden Markov Models
Journal of Computational Biology, 1995Hidden Markov models (HMMs) provide a general framework for expressing primary sequence consensus. HMMs can effectively be used to model and align protein families, and to search data bases. HMMs, however, have a large number of parameters. When only few sequences are available for model fitting, additional prior information must be incorporated into ...
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Survival analysis is a statistical approach used to predict the time until the occurrence of a specific event. It has broad applications across various domains, including healthcare, manufacturing, and logistics. In this paper, we advance standard statistical approaches by introducing the Survival Hidden Markov Model (SHMM), which decouples the ...
Bregoli A. +3 more
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Bregoli A. +3 more
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Segmental hidden Markov models
3rd European Conference on Speech Communication and Technology (Eurospeech 1993), 1993Mark J. F. Gales, Steve J. Young
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The Partially Observable Hidden Markov Model and Its Application to Keystroke Dynamics
Pattern Recognition, 2018John V Monaco, Charles C Tappert
exaly
Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009Sotirios P Chatzis +1 more
exaly