1 citations · 1 across the 5 of their papers we have counts for
7 papers
Analytical study of the optimal combination of binary classifiers based on classifiers-induced partitioning of the training set
Jean-Marc Brossier, Olivier Lafitte
This paper studies an optimal linear combination of binary classifiers based on a logical structuration of the dataset via truth tables. The given classifiers partition data into e…
When Analytic Calculus Cracks AdaBoost Code
Jean-Marc Brossier, Olivier Lafitte, Lenny Réthoré
The principle of boosting in supervised learning involves combining multiple weak classifiers to obtain a stronger classifier. AdaBoost has the reputation to be a perfect example o…
Generalization of the de Bruijn's identity to general -entropies and -Fisher informations
Irene Valero Toranzo, Steeve Zozor, Jean-Marc Brossier
In this paper, we propose generalizations of the de Bruijn's identities based on extensions of the Shannon entropy, Fisher information and their associated divergences or relative…
2D Time-frequency interference modelling using stochastic geometry for performance evaluation in Low-Power Wide-Area Networks
Zhuocheng Li, Steeve Zozor, Jean-Marc Brossier +2
In wireless networks, interferences between trans- missions are modelled either in time or frequency domain. In this article, we jointly analyze interferences in the time- frequenc…
Optimal Scalar Quantization for Parameter Estimation
Rodrigo Cabral Farias, Jean-Marc Brossier
In this paper, we study an asymptotic approximation of the Fisher information for the estimation of a scalar parameter using quantized measurements. We show that, as the number of…
Optimal Asymmetric Binary Quantization for Estimation Under Symmetrically Distributed Noise
Rodrigo Cabral Farias, Eric Moisan, Jean-Marc Brossier
Estimation of a location parameter based on noisy and binary quantized measurements is considered in this letter. We study the behavior of the Cramer-Rao bound as a function of the…
Adaptive Quantizers for Estimation
Rodrigo Cabral Farias, Jean-Marc Brossier
In this paper, adaptive estimation based on noisy quantized observations is studied. A low complexity adaptive algorithm using a quantizer with adjustable input gain and offset is…