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Gérard Biau
Gérard Biau
Professor, Sorbonne University, Paris
Verified email at sorbonne-universite.fr - Homepage
Title
Cited by
Cited by
Year
A random forest guided tour
G Biau, E Scornet
Test 25, 197-227, 2016
27742016
Analysis of a random forests model
G Biau
The Journal of Machine Learning Research 13, 1063-1095, 2012
17502012
Consistency of random forests and other averaging classifiers.
G Biau, L Devroye, G Lugosi
Journal of Machine Learning Research 9 (9), 2008
7622008
Consistency of random forests
E Scornet, G Biau, JP Vert
6032015
Lectures on the nearest neighbor method
G Biau, L Devroye
Springer International Publishing, 2015
3202015
Functional classification in Hilbert spaces
G Biau, F Bunea, MH Wegkamp
IEEE Transactions on Information Theory 51 (6), 2163-2172, 2005
1992005
Functional classification in Hilbert spaces
G Biau, F Bunea, MH Wegkamp
IEEE Transactions on Information Theory 51 (6), 2163-2172, 2005
1992005
On the performance of clustering in Hilbert spaces
G Biau, L Devroye, G Lugosi
IEEE Transactions on Information Theory 54 (2), 781-790, 2008
1752008
On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification
G Biau, L Devroye
Journal of Multivariate Analysis 101 (10), 2499-2518, 2010
1632010
Supervised reconstruction of biological networks with local models
K Bleakley, G Biau, JP Vert
Bioinformatics 23 (13), i57-i65, 2007
1462007
Estimation of precipitation by kriging in the EOF space of thesea level pressure field
G Biau, E Zorita, H von Storch, H Wackernagel
Journal of climate 12 (4), 1070-1085, 1999
1461999
New insights into approximate Bayesian computation
G Biau, F Cérou, A Guyader
Annales de l'IHP Probabilités et statistiques 51 (1), 376-403, 2015
1312015
Nonparametric spatial prediction
G Biau, B Cadre
Statistical Inference for Stochastic Processes 7, 327-349, 2004
1212004
Accelerated gradient boosting
G Biau, B Cadre, L Rouvìère
Machine learning 108, 971-992, 2019
1202019
Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory
J Kruppa, Y Liu, G Biau, M Kohler, IR König, JD Malley, A Ziegler
Biometrical Journal 56 (4), 534-563, 2014
1122014
Sparse single-index model.
P Alquier, G Biau
Journal of Machine Learning Research 14 (1), 2013
1022013
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate.
G Biau, F Cérou, A Guyader
Journal of Machine Learning Research 11 (2), 2010
1002010
A weighted k-nearest neighbor density estimate for geometric inference
G Biau, F Chazal, D Cohen-Steiner, L Devroye, C Rodriguez
942011
Neural random forests
G Biau, E Scornet, J Welbl
Sankhya A 81, 347-386, 2019
872019
Rates of Convergence of the Functional -Nearest Neighbor Estimate
G Biau, F Cérou, A Guyader
IEEE Transactions on Information Theory 56 (4), 2034-2040, 2010
762010
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