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» Optimization on Support Vector Machines
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IJPRAI
2010
151views more  IJPRAI 2010»
14 years 9 months ago
Structure-Embedded AUC-SVM
: AUC-SVM directly maximizes the area under the ROC curve (AUC) through minimizing its hinge loss relaxation, and the decision function is determined by those support vector sample...
Yunyun Wang, Songcan Chen, Hui Xue
CGO
2008
IEEE
15 years 5 months ago
Automatic array inlining in java virtual machines
Array inlining expands the concepts of object inlining to arrays. Groups of objects and arrays that reference each other are placed consecutively in memory so that their relative ...
Christian Wimmer, Hanspeter Mössenböck
JVM
2004
127views Education» more  JVM 2004»
15 years 2 days ago
Towards Scalable Multiprocessor Virtual Machines
A multiprocessor virtual machine benefits its guest operating system in supporting scalable job throughput and request latency--useful properties in server consolidation where ser...
Volkmar Uhlig, Joshua LeVasseur, Espen Skoglund, U...
SAC
2006
ACM
15 years 4 months ago
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Traditional Data Mining and Knowledge Discovery algorithms assume free access to data, either at a centralized location or in federated form. Increasingly, privacy and security co...
Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya
ICML
2007
IEEE
15 years 11 months ago
Direct convex relaxations of sparse SVM
Although support vector machines (SVMs) for binary classification give rise to a decision rule that only relies on a subset of the training data points (support vectors), it will ...
Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanck...