Automated text classification has gained a significant attention since a vast amount of documents in digital forms are widespread and continuously increasing. Most of the standard classification posit the independence of the terms-features in document, which is unrealistic considering the sophisticated structure of the language. Our research concer...
Dans cet article, nous présentons un simulateur de paysages agricoles bidimensionnels, GENEXP, qui engendre des découpages parcellaires à partir des paramètres statistiques de paysages réels, en utilisant une géométrie algorithmique classique. L'originalité de GENEXP est d'être couplé d'une part avec le logiciel R qui autorise les paramétrages et t...
Bouts of vocalizations given by seven red deer stags were recorded over the rutting period, and homomorphic analysis and hidden Markov models (two techniques typically used for the automatic recognition of human speech utterances) were used to investigate whether the spectral envelope of the calls was individually distinctive. Bouts of common roars...
The method introduced by Leroux [Maximum likelihood estimation for hidden Markov models, Stochastic Process Appl. 40 (1992) 127–143] to study the exact likelihood of hidden Markov models is extended to the case where the state variable evolves in an open interval of the real line. Under rather minimal assumptions, we obtain the convergence of the n...
The nonlinear stochastic control problem related with flow control is considered. The state of the link is described by controlled hidden Markov process while the loss flow is described by the counting process with the intensity depending on the current transmission rate and unobserved link state. The control is the transmission rate and have to be...
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Summary in English / Available from STL, Prague, CZ / NTK - National Technical Library / SIGLE / CZ / Czech Republic
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