Results 131 to 140 of about 8,159 (239)
A novel model for user clicks identification based on hidden semi-Markov
, 2013 A novel model for user clicks identification based on hidden semi ...
G Zhao (7716422) +3 more
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Psychophysiology, Volume 63, Issue 6, June 2026.ABSTRACT Neural oscillations are recognized as a fundamental component of brain electromagnetic activity. They are implicated in a wide range of cognitive processes and proposed as a core mechanism for brain communication. Nonetheless, detecting genuine neural oscillations remains a methodological challenge, particularly due to the difficulty of ...
Enrique Stern +2 more
wiley +1 more source
The Plant Journal, Volume 126, Issue 5, June 2026.SUMMARY The legume family originated ca. 60–65 million years ago and soon diversified into at least six lineages (now extant subfamilies). The signal of whole genome duplications (WGD) is apparent in species sampled from all six subfamilies. The early diversification has posed difficulties for resolving the legume backbone structure and the timing of ...
Hyun‐oh Lee +24 more
wiley +1 more source
Non parametric observation-driven hidden Markov model
Correction disponible à l'adresse suivante : https://www.tandfonline.com/doi/full/10.1080/03610926.2025.2466988International audienceHidden Markov models (HMM) are used in different fields to study the dynamics of a process that cannot be directly ...
Cheptou, Pierre-Olivier +3 more
core +1 more source
Geoscience Data JournalAnalysis of hydro‐climatological time series and spatiotemporal dynamics of meteorological variables has become critical in the context of climate change, especially in Southern African countries where rain‐fed agriculture is predominant.
Lovemore Chipindu +3 more
doaj +1 more source
, 2009 International audienceThis article concerns the study of the asymptotic properties of the maximum likelihood estimator (MLE) for the general hidden semi-Markov model (HSMM) with backward recurrence time dependence. By transforming the general HSMM into a
N. Limnios +3 more
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A hidden semi-Markov model for estimating burst suppression EEG. [PDF]
Annu Int Conf IEEE Eng Med Biol Soc, 2019 Chakravarty S +4 more
europepmc +1 more source
Unsupervised Segmentation of Hidden Semi- Markov Non Stationary Chains
, 2008 . In the classical hidden Markov chain (HMC) model we have a hidden chain X, which is a Markov one and an observed chain Y. HMC are widely used; however, in some situations they have to be replaced by the more general “hidden semi-Markov chains ” (HSMC),
Jérôme Lapuyade-lahorgue +1 more
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Efficient Hidden Semi-Markov Model Inference for Structured Video Sequences
, 2008 The semantic interpretation of video sequences by computer is often formulated as probabilistically relating lowerlevel features to higher-level states, constrained by a transition graph.
Jose Bins +3 more
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