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ESANN
2004
15 years 3 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
121
Voted
SDM
2004
SIAM
212views Data Mining» more  SDM 2004»
15 years 3 months ago
Clustering with Bregman Divergences
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
Arindam Banerjee, Srujana Merugu, Inderjit S. Dhil...
139
Voted
OSDI
1996
ACM
15 years 3 months ago
Microkernels Meet Recursive Virtual Machines
This paper describes a novel approach to providingmodular and extensible operating system functionality and encapsulated environments based on a synthesis of microkernel and virtu...
Bryan Ford, Mike Hibler, Jay Lepreau, Patrick Tull...
120
Voted
CSL
2010
Springer
15 years 3 months ago
From Feasible Proofs to Feasible Computations
We shall discuss several situations in which it is possible to extract from a proof, be it a proof in a first-order theory or a propositional proof, some feasible computational inf...
Jan Krajícek
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
15 years 3 months ago
Automated shape composition based on cell biology and distributed genetic programming
Motivated by the ability of living cells to form specific shapes and structures, we present a computational approach using distributed genetic programming to discover cell-cell i...
Linge Bai, Manolya Eyiyurekli, David E. Breen