-
Using domain knowledge in the transcriptome analysis: semantic similarity, fu...
Bioinformatic analyses of transcriptomic data aims to identify genes with variations in their expression level in different tissue samples, for example tissues from... -
Finite-Dimensional Projection for Classification and Statistical Learning
International audience -
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Consider the standard Gaussian linear regression model $Y=X\theta+\epsilon$, where $Y\in R^n$ is a response vector and $ X\in R^{n*p}$ is a design matrix. Numerous... -
ClustOfVar: An R Package for the Clustering of Variables
[Departement_IRSTEA]Territoires [TR1_IRSTEA]DTAM [Axe_IRSTEA]DTAM1-REPRO [Axe_IRSTEA]DTAM-QT2-ADAPTATION -
A Dataset for StarCraft AI & an Example of Armies Clustering
International audience -
Statistical inference in compound functional models
We consider a general nonparametric regression model called the compound model. It includes, as special cases, sparse additive regression and nonparametric (or linear)... -
Analysis of a Random Forests Model
Random forests are a scheme proposed by Leo Breiman in the 2000's for building a predictor ensemble with a set of decision trees that grow in randomly selected... -
Asymptotic Analysis of the Eigenvalues of a Laplacian Problem in a Thin Multi...
We consider a thin multidomain of $R^N$, N>1, consisting of two vertical cylinders, one placed upon the other: the first one with given height and small cross... -
Second order averaging for the nonlinear Schroedinger equation with strongly ...
International audience -
Junction of One-Dimensional Minimization Problems involving S^2 Valued Maps
International audience -
Asymptotic Analysis, in a Thin Multidomain, of Minimizing Maps with Values in...
International audience -
Reduction and emulation of ADMS Urban
International audience -
Minimax adaptive dimension reduction for regression
International audience -
Variable clustering in high dimensional linear regression models
International audience -
Sensorimotor approach of space perception for autonomous robotics.
Robots are usually designed following an internal organization of the kind "sense-plan-act" proposed during the early years of research in Artificial Intelligence. It... -
Functional principal component analysis of aircraft trajectories
International audience -
A new sliced inverse regression method for multivariate response
International audience -
On Fracture of Thin Films: a Variational Approach
We study the problem of fracture in thin film systems subject to tensile stresses originated by mechanical loading or inelastic phenomena, due e.g. to thermal or... -
Smoothed Functional Inverse Regression
This dataset has no description
-
A graphical tool for selecting the number of slices and the dimension of the ...
International audience
