AL BECHLAWI, Carole Guilloud, Frédéric

Multilevel coding (MLC) provides a low-complexity encoding scheme for lattices obtained via construction D. On the other hand, multistage decoding is also a practical decoding scheme for MLC provided that the underlying error correcting codes are capacity achieving, which requires using a powerful soft decoder for each code. In this article, we pro...

Guilleminot, Johann Noshadravan, A. Soize, Christian Ghanem, R.

In this paper, we address the construction of a prior stochastic model for non-Gaussian deterministically-bounded positive-definite matrix-valued random fields in the context of mesoscale modeling of heterogeneous elastic microstructures. We first introduce the micromechanical framework and recall, in particular, Huet's Partition Theorem. Based on ...

RODRIGUES, E. S. C. RODRIGUES, F. A. ROCHA, R. L. A. CORREA, P. L. P.

This paper presents an Adaptive Maximum Entropy (AME) approach for modeling biological species. The Maximum Entropy algorithm (MaxEnt) is one of the most used methods in modeling biological species geographical distribution. The approach presented here is an alternative to the classical algorithm. Instead of using the same set features in the train...

RODRIGUES, E. S. C. RODRIGUES, F. A. ROCHA, R. L. A. CORREA, P. L. P.

This paper presents an Adaptive Maximum Entropy (AME) approach for modeling biological species. The Maximum Entropy algorithm (MaxEnt) is one of the most used methods in modeling biological species geographical distribution. The approach presented here is an alternative to the classical algorithm. Instead of using the same set features in the train...

RODRIGUES, E. S. C. RODRIGUES, F. A. ROCHA, R. L. A. CORREA, P. L. P.

This paper presents an Adaptive Maximum Entropy (AME) approach for modeling biological species. The Maximum Entropy algorithm (MaxEnt) is one of the most used methods in modeling biological species geographical distribution. The approach presented here is an alternative to the classical algorithm. Instead of using the same set features in the train...

Cataldo, Edson Soize, Christian Sampaio, Rubens Desceliers, Christophe
Published in
Computational Mechanics

This paper is devoted to the construction of a stochastic nonlinear dynamical system for signal generation such as the production of voiced sounds. The dynamical system is highly nonlinear, and the output signal generated is very sensitive to a few parameters of the system. In the context of the production of voiced sounds the measurements have a s...

Piou, Cyril Berger, Uta Grimm, Volker

Soize, Christian

The construction of probabilistic models in computational mechanics requires the effective construction of probability distributions of random variables in high dimension. This paper deals with the effective construction of the probability distribution in high dimension of a vector-valued random variable using the maximum entropy principle. The int...

Lansky, Petr Pokora, Ondrej Rospars, Jean-Pierre

Neuronal responses evoked in sensory neurons by static stimuli of various intensities are usually characterized by their input-output transfer function, i.e. by plotting the firing frequency (or any other measurable neuron response) versus the corresponding stimulus intensity. The aim of the present article is to determine the stimulus intensities ...

Jacquet, Philippe

We investigate the problem of enumerating the words that are common to two random strings. We show that when the source models are memoriless that the number of common words is sublinear in the length of the sequence, and linear when the source models are exactly the same. We draw the same conclusions for the number of common nodes in the associate...