Automated Home-Cage Behavioural Phenotyping of Mice

Now we are interested in a decision criterion that allows us to detect as soon as possible a degraded state in order to return appliances to perform maintenance action before

L’algorithme de Viterbi permet de trouver, étant donné une séquence d’observation, le chemin le plus probable dans un HMM (la succession la plus probable d’états)

have shown, in [CP12], that there exists no algorithm computing a simple and equitable fair division for n ≥ 3 players in the Roberston-Webb model.. The strategy used in these

Considerable efforts have been devoted to the implementation of efficient optimization method for solving the Support Vector Machine dual problem.. This document proposes an

In this paper a Least-Squares Support Vector Machine (LS-SVM) approach is introduced which is capable of reconstructing the dependency structure for linear regression based LPV

Experiments on real agricultural dataset have been conducted and the experimental results indicate that the SVM algorithm outperforms two popular algorithms, i.e.,

A mobility model is constructed, based on the hidden Markov models, to estimate the trajectory followed by each person.. However, mobility models can not be used as standalone

As a consequence, we can rely on previously established results for these autoregressive processes with Markov regime (Douc, Moulines and Rydén, 2004) and thus obtain the