Results 271 to 280 of about 8,467,026 (293)

Survival Hidden Markov Model

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., Bellocchio F., Neri L., Stella F.   +3 more
openaire   +2 more sources

Segmental hidden Markov models

3rd European Conference on Speech Communication and Technology (Eurospeech 1993), 1993
Mark J. F. Gales, Steve J. Young
openaire   +2 more sources

Entangled Hidden Markov Models

Chaos, Solitons and Fractals, 2023
Abdessatar Souissi, El Gheteb Soueidi
exaly  

Hidden Markov models

2001
openaire   +1 more source

A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition

Proceedings of the IEEE, 1989
L R Rabiner
exaly  

Predicting Transmembrane Protein Topology With a Hidden Markov Model: Application to Complete Genomes

Journal of Molecular Biology, 2001
Gunnar von Heijne, Anders Krogh, Erik Sonnhammer   +2 more
exaly  

Inference in Hidden Markov Models

Technometrics, 2006
openaire   +1 more source

Inference in Hidden Markov Models

2005
Olivier Cappé, Eric Moulines, Tobias Rydén   +2 more
openaire   +1 more source

Mixed Hidden Markov Models

Journal of the American Statistical Association, 2007
Rachel MacKay Altman
exaly  

Hidden Markov models for trajectory modeling

5th International Conference on Spoken Language Processing (ICSLP 1998), 1998
Rukmini Iyer, Herbert Gish, Man-Hung Siu, George Zavaliagkos, Spyros Matsoukas   +4 more
openaire   +1 more source