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» Nonlinear functional regression: a functional RKHS approach
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ICASSP
2011
IEEE
12 years 10 months ago
Explicit recursivity into reproducing kernel Hilbert spaces
This paper presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces (RKHS). Unlike previous approaches that exploit the kernel trick on filtered ...
Devis Tuia, Gustavo Camps-Valls, Manel Martí...
NIPS
2008
13 years 8 months ago
Sparse Convolved Gaussian Processes for Multi-output Regression
We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...
Mauricio Alvarez, Neil D. Lawrence
CORR
2012
Springer
218views Education» more  CORR 2012»
12 years 2 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
CEC
2010
IEEE
13 years 7 months ago
Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling
An evolutionary approach for the optimization of microarray coatings produced via sol-gel chemistry is presented. The aim of the methodology is to face the challenging aspects of t...
Laura Villanova, Paolo Falcaro, Davide Carta, Iren...
BMCBI
2011
12 years 10 months ago
Linear and non-linear dependencies between copy number aberrations and mRNA expression reveal distinct molecular pathways in Bre
Background: Elucidating the exact relationship between gene copy number and expression would enable identification of regulatory mechanisms of abnormal gene expression and biologi...
Hiroko K. Solvang, Ole Christian Lingjærde, ...