Results 191 to 200 of about 8,159 (239)

Research on MOOCs course recommendation system based on hybrid attention mechanism in frequency and time domain. [PDF]

PLoS One
Yuan H, Liu L, Zhang Y, Wang G, He A, Zhang F.   +5 more
europepmc   +1 more source

Comment on "Inferring broken detailed balance in the absence of observable currents". [PDF]

Nat Commun
Hartich D, Godec A.
europepmc   +1 more source

A sticky Poisson Hidden Markov Model for solving the problem of over-segmentation and rapid state switching in cortical datasets. [PDF]

PLoS One
Li T, Camera G.
europepmc   +1 more source

Evaluating Semi-Markov Processes and Other Epidemiological Time-to-Event Models by Computing Disease Sojourn Density as Partial Differential Equations. [PDF]

Med Decis Making
Worthington J, Feletto E, He E, Wade S, de Graaff B, Nguyen ALT, George J, Canfell K, Caruana M.   +8 more
europepmc   +1 more source

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Hidden semi-Markov model for anomaly detection

Applied Mathematics and Computation, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaobin Tan, Hongsheng Xi
exaly   +2 more sources

Hidden semi-Markov model based speech synthesis

Interspeech 2004, 2004
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. In a hidden Markov model (HMM) based speech synthesis system which we have proposed, rhythm and tempo are controlled by state duration probability distributions modeled by single Gaussian distributions.
Heiga Zen, Keiichi Tokuda, Takashi Masuko, Takao Kobayashi, Tadashi Kitamura   +4 more
openaire   +2 more sources

Implementation of hidden semi-Markov models

, 2011
One of the most frequently used concepts applied to a variety of engineering and scientific studies over the recent years is that of a Hidden Markov Model (HMM). The Hidden semi-Markov model (HsMM) is contrived in such a way that it does not make any premise of constant or geometric distributions of a state duration.
Dasu, Nagendra Abhinav
openaire   +2 more sources

The evaluation problem in discrete semi-hidden Markov models

Mathematics and Computers in Simulation, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Juan Francisco Gómez-Lopera, José Martínez-Aroza, Ramón Román-Roldán, R. Román-Gálvez, David Blanco-Navarro   +4 more
exaly   +3 more sources

On semi-continuous hidden Markov modeling

International Conference on Acoustics, Speech, and Signal Processing, 2002
The semicontinuous hidden Markov model is used in a 1000-word speaker-independent continuous speech recognition system and compared with the continuous mixture model and the discrete model. When the acoustic parameter is not well modeled by the continuous probability density, it is observed that the model assumption problems may cause the recognition ...
Xuedong Huang 0001, Kai-Fu Lee, Hsiao-Wuen Hon   +2 more
openaire   +1 more source