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JMLR
2012
11 years 11 months ago
A General Framework for Structured Sparsity via Proximal Optimization
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
Luca Baldassarre, Jean Morales, Andreas Argyriou, ...
SIAMSC
2008
198views more  SIAMSC 2008»
13 years 8 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
INFORMATICALT
2010
101views more  INFORMATICALT 2010»
13 years 7 months ago
An Improved Differential Evolution Scheme for the Solution of Large-Scale Unit Commitment Problems
This paper presents an improved differential evolution (IDE) method for the solution of large-scale unit commitment (UC) problems. The objective of the proposed scheme is to determ...
Chen-Sung Chang
ICML
2003
IEEE
14 years 9 months ago
Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization
Logistic Regression (LR) has been widely used in statistics for many years, and has received extensive study in machine learning community recently due to its close relations to S...
Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Ha...
CORR
2010
Springer
140views Education» more  CORR 2010»
13 years 7 months ago
On Scaling Laws of Diversity Schemes in Decentralized Estimation
This paper is concerned with decentralized estimation of a Gaussian source using multiple sensors. We consider a diversity scheme where only the sensor with the best channel sends...
Alex S. Leong, Subhrakanti Dey