RÉSUMÉ. Ce papier porte sur la modélisation de séries temporelles ou de régression à l’aide de réseaux de neurones. En nous appuyant sur des résultats récents sur l’estimation des moindres carrés pour les séries temporelles non linéaires, nous proposons une méthodologie complète et explicite pour l’estimation des paramètres (processus d’apprentissage) et pour le choix du modèle (sélection d’arc...

Let V be a real finite dimensional representation of a compact Lie group G. It is well-known that the algebra R[V ] of G-invariant polynomials on V is finitely generated, say by σ1, . . . , σp. Schwarz [38] proved that each G-invariant C-function f on V has the form f = F (σ1, . . . , σp) for a Cfunction F on R. We investigate this representation within the framework of Denjoy–Carleman classes....

In this work, we model speech samples with a two-sided generalized Gamma distribution and evaluate its efficiency for voice activity detection. Using a computationally inexpensive maximum likelihood approach, we employ the Bayesian Information Criterion for identifying the phoneme boundaries in noisy speech.

This doctoral dissertation introduces an algorithm for constructing the most probable Bayesian network from data for small domains. The algorithm is used to show that a popular goodness criterion for the Bayesian networks has a severe sensitivity problem. The dissertation then proposes an information theoretic criterion that avoids the problem. Computing Reviews (1998)

Submit Manuscript | http://medcraveonline.com Abbreviations: ECoG: Electro Cortico Graphic; BdSEM: Bayesian Differential Structural Equation Modeling; ODEs: Ordinary Differential Equations; ROI: Region Of Interest; fMRI: functional Magnetic Resonance Imaging; MCMC: Markov Chain Monte Carlo; FDA: Functional Data Analysis; STG: Superior Temporal Gyrus; PostSTG: Posterior STG; MidSTG: Middle STG; ...

This paper introduces measures of information for Bayesian analysis when the support of data distribution is truncated progressively. The focus is on the lifetime distributions where the support is truncated at the current age t>=0. Notions of uncertainty and information are presented and operationalized by Shannon entropy, Kullback-Leibler information, and mutual information. Dynamic updatings...

The authors identify and provide an integration of 3 criteria for establishing cue-search hierarchies in inferential judgment. Cues can be ranked by information value according to expected information gain (Bayesian criterion), cue-outcome correlation (correlational criterion), or ecological validity (accuracy criterion). All criteria significantly predicted information acquisition behavior; ho...