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» Nonlinear functional regression: a functional RKHS approach
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IJCSA
2007
91views more  IJCSA 2007»
13 years 7 months ago
Experiences in Testing Automation of a Family of Functional- and GUI-similar Programs
This article presents experiences in the automation of a testing process. The main goal is the unified testing of not only one program, but a whole family of programs. The family ...
Anna Derezinska, Tomasz Malek
ICPR
2008
IEEE
14 years 1 months ago
Fast multiple instance learning via L1, 2 logistic regression
In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...
Zhouyu Fu, Antonio Robles-Kelly
NIPS
2008
13 years 8 months ago
High-dimensional support union recovery in multivariate regression
We study the behavior of block 1/ 2 regularization for multivariate regression, where a K-dimensional response vector is regressed upon a fixed set of p covariates. The problem of...
Guillaume Obozinski, Martin J. Wainwright, Michael...
ALT
2006
Springer
14 years 4 months ago
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice
Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
Hsuan-Tien Lin, Ling Li
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 27 days ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon