Sentence examples for hidden model from inspiring English sources

As the true optimal treatment groups are hidden, model fits may be evaluated by measuring the congruity between observed treatment contrasts and predicted ones [ 34, 47].

Other modeling issues covered include: modeling of joint data (e.g., PKPD models), covariate models, mixture models, hidden Markov models, and stochastic differential equation-based models.

Work presented in [38] summarized various statistical approaches for route prediction: Markov model (MM), hidden Markov model (HMM) and variable order Markov model (VMM).

Several approaches have been proposed using different learning models, such as condition random fields (CRF), maximum entropy model (MEM), hidden markov model (HMM), and support vector machines (SVM).

Markov model (MM) and hidden Markov model (HMM) are used to perform segment in Chinese.

In this work, hidden Markov model and Gaussian mixture model (HMM-GMM) are employed, for both acoustic events and speech.

We have developed MixHMM, a novel hidden Markov model using hidden states based on chromosomal structural aberrations.

In the speech model considered, words are hidden Markov models composed of concatenations of phonetic hidden Markov models.

We employ a conventional context-dependent DNN hidden Markov model (CD-DNN-HMM -based aCD-DNN-HMM -based

Previously, we developed a contourlet image model, that is, the contourlet contextual hidden Markov model (C-CHMM).

As a model compensation method for this problem, we investigated the use of factorial hidden Markov model (FHMM) architecture developed from a clean-speech hidden Markov model (HMM) and a sudden-noise HMM.