678 citations · 1.5k across the 30 of their papers we have counts for
Showing 2014 · math.STShow all
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math.ST2014
Cox process functional learning
Gérard Biau, Benoît Cadre, Quentin Paris
This article addresses the problem of functional supervised classification of Cox process trajectories, whose random intensity is driven by some exogenous random covariable. The cl…
math.ST2014★ 2 cited
Online Asynchronous Distributed Regression
Gérard Biau, Ryad Zenine
Distributed computing offers a high degree of flexibility to accommodate modern learning constraints and the ever increasing size of datasets involved in massive data issues. Drawi…
math.ST2014★ 599 cited
Consistency of random forests
Erwan Scornet, Gérard Biau, Jean-Philippe Vert
Random forests are a learning algorithm proposed by Breiman [Mach. Learn. 45 (2001) 5--32] that combines several randomized decision trees and aggregates their predictions by avera…