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MA
2010
Springer
131views Communications» more  MA 2010»
13 years 8 months ago
Functional nonparametric estimation of conditional extreme quantiles
Abstract − We address the estimation of quantiles from heavy-tailed distributions when functional covariate information is available and in the case where the order of the quanti...
Laurent Gardes, Stéphane Girard, Alexandre ...
SIAMNUM
2010
103views more  SIAMNUM 2010»
13 years 4 months ago
Hybridization and Postprocessing Techniques for Mixed Eigenfunctions
Abstract. We introduce hybridization and postprocessing techniques for the RaviartThomas approximation of second-order elliptic eigenvalue problems. Hybridization reduces the Ravia...
Bernardo Cockburn, Jayadeep Gopalakrishnan, F. Li,...
SIAMNUM
2010
127views more  SIAMNUM 2010»
13 years 4 months ago
The Discrete Duality Finite Volume Method for Convection-diffusion Problems
In this paper we extend the discrete duality finite volume (DDFV) formulation to the steady convection-diffusion equation. The discrete gradients defined in DDFV are used to define...
Yves Coudière, Gianmarco Manzini
CORR
2012
Springer
232views Education» more  CORR 2012»
12 years 5 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
ML
2012
ACM
388views Machine Learning» more  ML 2012»
12 years 5 months ago
Statistical analysis of kernel-based least-squares density-ratio estimation
The ratio of two probability densities can be used for solving various machine learning tasks such as covariate shift adaptation (importance sampling), outlier detection (likeliho...
Takafumi Kanamori, Taiji Suzuki, Masashi Sugiyama