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ArticlesPeer ReviewedFull Text
MPAgenomics: an R package for multi-patient analysis of genomic markers
Author / Creator:Grimonprez, Quentin ; Celisse, Alain ; Blanck, Samuel ; Cheok, Meyling ; Figeac, Martin ; Marot, Guillemette
Publisher:England: BioMed Central Ltd
Journal title:BMC bioinformatics, 2014-12, Vol.15 (1), p.394-394, Article 394
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ArticlesPeer ReviewedFull Text
Optimal cross-validation in density estimation with the $L^{2}$-loss
Author / Creator:Celisse, Alain
Publisher:The Institute of Mathematical Statistics
Journal title:The Annals of statistics, 2014-10, Vol.42 (5), p.1879-1910
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ArticlesPeer ReviewedFull Text
Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation
Author / Creator:Guedj, Mickael ; Robin, Stephane ; Celisse, Alain ; Nuel, Gregory
Publisher:England: BioMed Central Ltd
Journal title:BMC bioinformatics, 2009-03, Vol.10 (84), p.84-84, Article 84
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ArticlesPeer ReviewedFull Text
OPTIMAL CROSS-VALIDATION IN DENSITY ESTIMATION WITH THE L²-LOSS
Author / Creator:Celisse, Alain
Publisher:Institute of Mathematical Statistics
Journal title:The Annals of statistics, 2014-10, Vol.42 (5), p.1879-1910
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ArticlesPeer ReviewedFull Text
Optimal cross-validation in density estimation with the L^sup 2^-loss
Author / Creator:Celisse, Alain
Publisher:Hayward: Institute of Mathematical Statistics
Journal title:The Annals of statistics, 2014-10, Vol.42 (5), p.1879
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ArticlesPeer ReviewedFull Text
MPAgenomics : An R package for multi-patients analysis of genomic markers
Author / Creator:Grimonprez, Quentin ; Celisse, Alain ; Blanck, Samuel ; Cheok, Meyling ; Figeac, Martin ; Marot, Guillemette
Publisher:BioMed Central
Journal title:BMC bioinformatics, 2014-12, Vol.15
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ArticlesFull Text
Early stopping and polynomial smoothing in regression with reproducing kernels
Author / Creator:Averyanov, Yaroslav ; Celisse, Alain
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-11
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ArticlesFull Text
Minimum discrepancy principle strategy for choosing $k$ in $k$-NN regression
Author / Creator:Averyanov, Yaroslav ; Celisse, Alain
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-07
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ArticlesPeer ReviewedFull Text
A semi-parametric kernel-based approach to local False Discovery Rate estimations
Author / Creator:Nuel, Gregory ; Celisse, Alain ; Guedj, Mickaël ; Robin, Stéphane
Publisher:BioMed Central
Journal title:BMC bioinformatics, 2009, Vol.10
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ArticlesFull Text
Breakpoint based online anomaly detection
Author / Creator:Krönert, Etienne ; Hattab, Dalila ; Celisse, Alain
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-07
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ArticlesFull Text
Analyzing the discrepancy principle for kernelized spectral filter learning algorithms
Author / Creator:Celisse, Alain ; Wahl, Martin
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2020-04
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ArticlesFull Text
Optimal cross-validation in density estimation with the $L^2$-loss
Author / Creator:Celisse, Alain
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2014-10
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ArticlesFull Text
Stability revisited: new generalisation bounds for the Leave-one-Out
Author / Creator:Celisse, Alain ; Guedj, Benjamin
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2016-08
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ArticlesFull Text
Theoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier
Author / Creator:Celisse, Alain ; Mary-Huard, Tristan
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2017-10
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ArticlesFull Text
A Kernel Multiple Change-point Algorithm via Model Selection
Author / Creator:Arlot, Sylvain ; Celisse, Alain ; Harchaoui, Zaid
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2019-03
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ArticlesFull Text
A One-Sample Test for Normality with Kernel Methods
Author / Creator:Kellner, Jérémie ; Celisse, Alain
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2015-07
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ArticlesFull Text
New normality test in high dimension with kernel methods
Author / Creator:Kellner, Jérémie ; Celisse, Alain
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2014-04
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ArticlesFull Text
A survey of cross-validation procedures for model selection
Author / Creator:Arlot, Sylvain ; Celisse, Alain
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2009-07
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ArticlesFull Text
Segmentation of the mean of heteroscedastic data via cross-validation
Author / Creator:Arlot, Sylvain ; Celisse, Alain
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2009-04
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ArticlesFull Text
New efficient algorithms for multiple change-point detection with kernels
Author / Creator:Celisse, Alain ; Marot, Guillemette ; Pierre-Jean, Morgane ; Rigaill, Guillem
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2017-10
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MPAgenomics: an R package for multi-patient analysis of genomic markers

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Optimal cross-validation in density estimation with the $L^{2}$-loss

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Kerfdr: a semi-parametric kernel-based approach to local false discovery rate estimation

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OPTIMAL CROSS-VALIDATION IN DENSITY ESTIMATION WITH THE L²-LOSS

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Optimal cross-validation in density estimation with the L^sup 2^-loss

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MPAgenomics : An R package for multi-patients analysis of genomic markers

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Early stopping and polynomial smoothing in regression with reproducing kernels

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Minimum discrepancy principle strategy for choosing \(k\) in \(k\)-NN regression

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A semi-parametric kernel-based approach to local False Discovery Rate estimations

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Breakpoint based online anomaly detection

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Analyzing the discrepancy principle for kernelized spectral filter learning algorithms

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Optimal cross-validation in density estimation with the \(L^2\)-loss

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Stability revisited: new generalisation bounds for the Leave-one-Out

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Theoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier

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A Kernel Multiple Change-point Algorithm via Model Selection

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A One-Sample Test for Normality with Kernel Methods

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New normality test in high dimension with kernel methods

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A survey of cross-validation procedures for model selection

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Segmentation of the mean of heteroscedastic data via cross-validation

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New efficient algorithms for multiple change-point detection with kernels

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