Výsledky vyhledávání - "Sylvain Arlot"

Comments on: A random forest guided tour

Autor: Sylvain Arlot, Robin Genuer

Publikováno v: TEST. 25:228-238

This paper is a comment on the survey paper by Biau and Scornet (TEST, 2016. doi: 10.1007/s11749-016-0481-7 ) about random forests. We focus on the problem of quantifying the impact of each ingredient of random forests on their performance. We show t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0427848d4ec6659990304e9dbef241a7
https://doi.org/10.1007/s11749-016-0484-4

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Coupling the Yoccoz-Birkeland population model with price dynamics: chaotic livestock commodities market cycles

Autor: Stefano Marmi, Duccio Papini, Sylvain Arlot

Publikováno v: 26 pages, 19 figures. 2018

We propose a new model for the time evolution of livestock commodities which exhibits endogenous deterministic stochastic behaviour. The model is based on the Yoccoz-Birkeland integral equation, a model first developed for studying the time-evolution

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f79aa37e559bde538b30efda4035e524
https://hal.archives-ouvertes.fr/hal-01812794/file/ArMaPa_hr.pdf

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A weakly-supervised discriminative model for audio-to-score alignment

Autor: Rémi Lajugie, Philippe Cuvillier, Sylvain Arlot, Francis Bach, Piotr Bojanowski

Publikováno v: 41st International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
41st International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Mar 2016, Shanghai, China
ICASSP

International audience; In this paper, we consider a new discriminative approach to the problem of audio-to-score alignment. We consider the two distinct informations provided by the music scores: (i) an exact ordered list of musical events and (ii)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dea7eb4186bb6922ece63c3a8c8d25a2
https://hal.science/hal-01251018/file/icassp2016.pdf

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Segmentation of the mean of heteroscedastic data via cross-validation

Autor: Alain Celisse, Sylvain Arlot

Publikováno v: Statistics and Computing
Statistics and Computing, 2010, 21 (4), ⟨10.1007/s11222-010-9196-x⟩
Statistics and Computing, Springer Verlag (Germany), 2010, 21 (4), ⟨10.1007/s11222-010-9196-x⟩

Published in Statistics and Computing. DOI: 10.1007/s11222-010-9196-x; International audience; This paper tackles the problem of detecting abrupt changes in the mean of a heteroscedastic signal by model selection, without knowledge on the variations

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::953c366ebdfb687d36eec9fbaa38940d
https://hal.science/hal-00363627v2/file/chpt.pdf

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Some nonasymptotic results on resampling in high dimension, I: Confidence regions

Autor: Etienne Roquain, Sylvain Arlot, Gilles Blanchard

Publikováno v: Ann. Statist. 38, no. 1 (2010), 51-82
Annals of Statistics
Annals of Statistics, Institute of Mathematical Statistics, 2010, 38 (1), pp.51-82. ⟨10.1214/08-AOS667⟩
Annals of Statistics, 2010, 38 (1), pp.51-82. ⟨10.1214/08-AOS667⟩

We study generalized bootstrap confidence regions for the mean of a random vector whose coordinates have an unknown dependency structure. The random vector is supposed to be either Gaussian or to have a symmetric and bounded distribution. The dimensi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5e838ea40a42abce9e47655344d2264
https://projecteuclid.org/euclid.aos/1262271609

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Some nonasymptotic results on resampling in high dimension, II: Multiple tests

Autor: Gilles Blanchard, Etienne Roquain, Sylvain Arlot

Publikováno v: Ann. Statist. 38, no. 1 (2010), 83-99
Annals of Statistics
Annals of Statistics, Institute of Mathematical Statistics, 2010, 38 (1), pp.83-99. ⟨10.1214/08-AOS668⟩
Annals of Statistics, 2010, 38 (1), pp.83-99. ⟨10.1214/08-AOS668⟩

International audience; In the context of correlated multiple tests, we aim to nonasymptotically control the family-wise error rate (FWER) using resampling-type procedures. We observe repeated realizations of a Gaussian random vector in possibly high

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a77644196a5fa980f6c3b320c1717580
https://projecteuclid.org/euclid.aos/1262271610

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A survey of cross-validation procedures for model selection

Autor: Alain Celisse, Sylvain Arlot

Publikováno v: Statistics Surveys
Statistics Surveys, Institute of Mathematical Statistics (IMS), 2010, 4, pp.40--79. ⟨10.1214/09-SS054⟩
Statistics Surveys, 2010, 4, pp.40--79. ⟨10.1214/09-SS054⟩
Statist. Surv. 4 (2010), 40-79

Published in Statistics Surveys (2010) 4, 40-79; International audience; Used to estimate the risk of an estimator or to perform model selection, cross-validation is a widespread strategy because of its simplicity and its apparent universality. Many

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::115f365aea1174673760ec4e642cf1cb
https://hal.archives-ouvertes.fr/hal-00407906/document

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Estimating the accuracy of satellite ephemerides using the bootstrap method

Autor: Valery Lainey, Jean-Eudes Arlot, Josselin Desmars, Alain Vienne, Sylvain Arlot

Publikováno v: Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, 2009, 499, pp.321-330. ⟨10.1051/0004-6361/200811509⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2009, 499, pp.321-330. ⟨10.1051/0004-6361/200811509⟩

International audience; Context: The accuracy of predicted orbital positions depends on the quality of the theorical model and of the observations used to fit the model. During the period of observations, this accuracy can be estimated through compar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d57664bcdcff06c3ad7550ba503dda88
https://hal.science/hal-00401867/document

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Margin-adaptive model selection in statistical learning

Autor: Peter L. Bartlett, Sylvain Arlot

Publikováno v: Bernoulli 17, no. 2 (2011), 687-713
Bernoulli
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2011, 17 (2), pp.687-713. ⟨10.3150/10-BEJ288⟩
Bernoulli, 2011, 17 (2), pp.687-713. ⟨10.3150/10-BEJ288⟩

A classical condition for fast learning rates is the margin condition, first introduced by Mammen and Tsybakov. We tackle in this paper the problem of adaptivity to this condition in the context of model selection, in a general learning framework. Ac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6019438efc1a796cf25d8fd3e8501b5
http://arxiv.org/abs/0804.2937

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Model selection by resampling penalization

Autor: Sylvain Arlot

Publikováno v: Electronic Journal of Statistics
Electronic Journal of Statistics, Shaker Heights, OH : Institute of Mathematical Statistics, 2009, 3, pp.557--624. ⟨10.1214/08-EJS196⟩
Electron. J. Statist. 3 (2009), 557-624
Electronic Journal of Statistics, 2009, 3, pp.557--624. ⟨10.1214/08-EJS196⟩

In this paper, a new family of resampling-based penalization procedures for model selection is defined in a general framework. It generalizes several methods, including Efron's bootstrap penalization and the leave-one-out penalization recently propos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::007763a88d85186502f2dfdbc24917e4
http://arxiv.org/abs/math/0701542

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