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» Approximation Via Value Unification
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JMLR
2006
150views more  JMLR 2006»
13 years 7 months ago
Exact 1-Norm Support Vector Machines Via Unconstrained Convex Differentiable Minimization
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Olvi L. Mangasarian
CDC
2010
IEEE
119views Control Systems» more  CDC 2010»
13 years 2 months ago
Motion planning in quantum control via intersection of eigenvalues
In this paper we consider the problem of inducing a transition in a controlled quantum mechanical system whose spectrum loses simplicity for some values of the control. We study th...
Ugo V. Boscain, Francesca C. Chittaro, Paolo Mason...
ICML
2007
IEEE
14 years 8 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
INTERNET
2010
119views more  INTERNET 2010»
13 years 5 months ago
A Chat Application in Lift
s the HTTP request–response cycle rather than wrapping HTTP concepts in APIs. This means you put HTML element definition and action in the same place: var name = "" SHt...
David Pollak, Steve Vinoski
CORR
2008
Springer
92views Education» more  CORR 2008»
13 years 7 months ago
Nonnegative Matrix Factorization via Rank-One Downdate
Nonnegative matrix factorization (NMF) was popularized as a tool for data mining by Lee and Seung in 1999. NMF attempts to approximate a matrix with nonnegative entries by a produ...
Michael Biggs, Ali Ghodsi, Stephen A. Vavasis