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JMLR
2008
133views more  JMLR 2008»
13 years 10 months ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan
CSDA
2007
128views more  CSDA 2007»
13 years 10 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
MOR
2008
110views more  MOR 2008»
13 years 10 months ago
On the Low Rank Solutions for Linear Matrix Inequalities
In this paper we present a polynomial-time procedure to find a low rank solution for a system of Linear Matrix Inequalities (LMI). The existence of such a low rank solution was sh...
Wenbao Ai, Yongwei Huang, Shuzhong Zhang
SIAMCO
2008
70views more  SIAMCO 2008»
13 years 10 months ago
Duality in Linear Programming Problems Related to Deterministic Long Run Average Problems of Optimal Control
It has been established recently that, under mild conditions, deterministic long run average problems of optimal control are "asymptotically equivalent" to infinite-dimen...
Luke Finlay, Vladimir Gaitsgory, Ivan Lebedev
TSP
2008
178views more  TSP 2008»
13 years 10 months ago
Digital Computation of Linear Canonical Transforms
Abstract--We deal with the problem of efficient and accurate digital computation of the samples of the linear canonical transform (LCT) of a function, from the samples of the origi...
A. Koc, Haldun M. Özaktas, Cagatay Candan, M....