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Selecting Hidden Markov Chain States Number with Cross-Validated Likelihood
The problem of estimating the number of hidden states in a hidden Markov chain model is considered. Emphasis is placed on cross-validated likelihood criteria. Using... -
Software Reliability Modelling and Prediction with Hidden Markov Chain
The purpose of this report is to use the framework of hidden Markov chains for the modelling of the failure and debugging process of software, and the prediction of... -
Unsupervised segmentation of random discrete data hidden with switching noise...
International audience -
Application au domaine aéronautique
Ensuring the integrity of structural components subjected to fatigue loads remains an increasing concern in the aerospace industry due to the detrimental accidents... -
A semi-exact sequential Monte Carlo filtering algorithm in hidden Markov chains
International audience -
Dempster-Shafer fusion of multisensor signals in nonstationary Markovian context
International audience -
Triplet Markov models in restoration signals
Statistical unsupervised restoration of signal can be applied in many fields such as economy, health, signal processing, meteorology, finance, biology, reliability,... -
Unsupervised segmentation of nonstationary pairwise Markov chains using evide...
International audience -
Triplet Markov chains and optimal filtering in the jump systems
This thesis is devoted to the restoration problem and the parameter estimation by filtering in the traditional hidden Markov chain model, couple and triplet with... -
Analysis and optimization of the reliability of an opto-electronic equipment ...
As part of optimizing the reliability, Thales Optronics now includes systems that examine the state of its equipment. This function is performed by HUMS (Health &...
