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ML
2002
ACM
121views Machine Learning» more  ML 2002»
15 years 6 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
MOC
1998
111views more  MOC 1998»
15 years 6 months ago
The approximation power of moving least-squares
A general method for near-best approximations to functionals on Rd, using scattered-data information is discussed. The method is actually the moving least-squares method, presented...
David Levin
SIAMCOMP
1998
137views more  SIAMCOMP 1998»
15 years 6 months ago
Primal-Dual RNC Approximation Algorithms for Set Cover and Covering Integer Programs
We build on the classical greedy sequential set cover algorithm, in the spirit of the primal-dual schema, to obtain simple parallel approximation algorithms for the set cover probl...
Sridhar Rajagopalan, Vijay V. Vazirani
TIT
2002
92views more  TIT 2002»
15 years 6 months ago
Asymmetric multiple description lattice vector quantizers
We consider the design of asymmetric multiple description lattice quantizers that cover the entire spectrum of the distortion profile, ranging from symmetric or balanced to success...
Suhas N. Diggavi, N. J. A. Sloane, Vinay A. Vaisha...
DAM
2010
104views more  DAM 2010»
15 years 5 months ago
Sorting with networks of data structures
We consider the problem of sorting a permutation using a network of data structures as introduced by Knuth and Tarjan. In general the model as considered previously was restricted...
Therese C. Biedl, Alexander Golynski, Angèl...