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» Data selection for support vector machine classifiers
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IPPS
2003
IEEE
15 years 3 months ago
Dynamically Loaded Classes as Shared Libraries: An Approach to Improving Virtual Machine Scalability
Sharing selected data structures among virtual machines of a safe language can improve resource utilization of each participating run-time system. The challenge is to determine wh...
Bernard Wong, Grzegorz Czajkowski, Laurent Dayn&eg...
SC
1995
ACM
15 years 1 months ago
Index Array Flattening Through Program Transformation
This paper presents techniques for compiling loops with complex, indirect array accesses into loops whose array references have at most one level of indirection. The transformatio...
Raja Das, Paul Havlak, Joel H. Saltz, Ken Kennedy
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
DMIN
2008
176views Data Mining» more  DMIN 2008»
14 years 11 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu
SCN
2010
Springer
187views Communications» more  SCN 2010»
14 years 8 months ago
Searching Keywords with Wildcards on Encrypted Data
Abstract. A hidden vector encryption scheme (HVE) is a derivation of identity-based encryption, where the public key is actually a vector over a certain alphabet. The decryption ke...
Saeed Sedghi, Peter van Liesdonk, Svetla Nikova, P...