17 citations · 22 across the 6 of their papers we have counts for
6 papers
Statistical analysis of a hierarchical clustering algorithm with outliers
Nicolas Klutchnikoff, Audrey Poterie, Laurent Rouviere
It is well known that the classical single linkage algorithm usually fails to identify clusters in the presence of outliers. In this paper, we propose a new version of this algorit…
Accelerated Gradient Boosting
Gérard Biau, Benoît Cadre, Laurent Rouvìère
Gradient tree boosting is a prediction algorithm that sequentially produces a model in the form of linear combinations of decision trees, by solving an infinite-dimensional optimiz…
On clustering procedures and nonparametric mixture estimation
Stéphane Auray, Nicolas Klutchnikoff, Laurent Rouvière
This paper deals with nonparametric estimation of conditional den-sities in mixture models in the case when additional covariates are available. The proposed approach consists of p…
Statistical analysis of -nearest neighbor collaborative recommendation
Gérard Biau, Benoît Cadre, Laurent Rouvière
Collaborative recommendation is an information-filtering technique that attempts to present information items that are likely of interest to an Internet user. Traditionally, collab…
A Stochastic Model for Collaborative Recommendation
Gérard Biau, Benoit Cadre, Laurent Rouvière
Collaborative recommendation is an information-filtering technique that attempts to present information items (movies, music, books, news, images, Web pages, etc.) that are likely…
Multiplicative Bias Corrected Nonparametric Smoothers
Nicolas Hengartner, Eric Matzner-Løber, Laurent Rouvière +1
The paper presents a multiplicative bias reduction estimator for nonparametric regression. The approach consists to apply a multiplicative bias correction to an oversmooth pilot es…