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CORR
2007
Springer
104views Education» more  CORR 2007»
15 years 4 months ago
Separable convex optimization problems with linear ascending constraints
Separable convex optimization problems with linear ascending inequality and equality constraints are addressed in this paper. An algorithm that explicitly characterizes the optimum...
Arun Padakandla, Rajesh Sundaresan
CPHYSICS
2007
114views more  CPHYSICS 2007»
15 years 4 months ago
GDF v2.0, an enhanced version of GDF
An improved version of the function estimation program GDF is presented. The main enhancements of the new version include: multi-output function estimation, capability of definin...
Ioannis G. Tsoulos, Dimitris Gavrilis, Evangelos D...
CSDA
2007
106views more  CSDA 2007»
15 years 4 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
IVC
2006
97views more  IVC 2006»
15 years 4 months ago
Dominant colour extraction in DCT domain
As most of MPEG and JPEG compression standards are DCT-based, we propose a simple, low-cost and fast algorithm to extract dominant colour features directly in DCT domain without i...
Jianmin Jiang, Ying Weng, Pengjie Li
JMLR
2008
94views more  JMLR 2008»
15 years 4 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
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