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» Solving Demodulation as an Optimization Problem
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EMNLP
2009
15 years 2 months ago
Multi-Class Confidence Weighted Algorithms
The recently introduced online confidence-weighted (CW) learning algorithm for binary classification performs well on many binary NLP tasks. However, for multi-class problems CW l...
Koby Crammer, Mark Dredze, Alex Kulesza
HIS
2009
15 years 2 months ago
Improved Harmony Search for Economic Power Dispatch
This paper presents a novel optimization approach using Improved Harmony Search (IHS) algorithm to solve economic power dispatch problem. The proposed methodology easily takes care...
V. Ravikumar Pandi, Bijaya K. Panigrahi, Manas Kum...
JMLR
2010
82views more  JMLR 2010»
14 years 11 months ago
On Spectral Learning
In this paper, we study the problem of learning a matrix W from a set of linear measurements. Our formulation consists in solving an optimization problem which involves regulariza...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
CORR
2011
Springer
214views Education» more  CORR 2011»
14 years 8 months ago
Convex Approaches to Model Wavelet Sparsity Patterns
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright,...
IFIP7
2001
Springer
137views Optimization» more  IFIP7 2001»
15 years 9 months ago
Data Mining via Support Vector Machines
Support vector machines (SVMs) have played a key role in broad classes of problems arising in various fields. Much more recently, SVMs have become the tool of choice for problems...
Olvi L. Mangasarian