Results 191 to 200 of about 24,804 (235)

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

open access: yesMed Decis Making
Worthington J   +8 more
europepmc   +1 more source

Offline and online identification of hidden semi-Markov models

IEEE Transactions on Signal Processing, 2005
We present a new signal model for hidden semi-Markov models (HSMMs). Instead of constant transition probabilities used in existing models, we use state-duration-dependant transition probabilities. We show that our modeling approach leads to easy and efficient implementation of parameter identification algorithms.
M Azimi
exaly   +2 more sources

Implementation of hidden semi-Markov models

open access: yes, 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

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
openaire   +1 more source

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   +4 more
openaire   +1 more source

Hidden semi-Markov models for electricity load disaggregation

ACM SIGMETRICS Performance Evaluation Review, 2019
This paper assesses the performance of a technique for estimating the power consumption of individual devices based on aggregate consumption. The new semi-Markov technique, outperforms pure hidden Markov models on the REDD dataset. The technique also exploits information from transients to eliminate a substantial fraction of the observed ...
Yung Fei Wong   +2 more
openaire   +1 more source

On efficient Viterbi decoding for hidden semi-Markov models

2008 19th International Conference on Pattern Recognition, 2008
We present algorithms for improved Viterbi decoding for the case of hidden semi-Markov models. By carefully constructing directed acyclic graphs, we pose the decoding problem as that of finding the longest path between specific pairs of nodes. We consider fully connected models as well as restrictive topologies and state duration conditions, and show ...
Ritendra Datta   +2 more
openaire   +1 more source

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