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» Multiple Kernel Learning with High Order Kernels
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SDM
2009
SIAM
119views Data Mining» more  SDM 2009»
14 years 4 months ago
Twin Vector Machines for Online Learning on a Budget.
This paper proposes Twin Vector Machine (TVM), a constant space and sublinear time Support Vector Machine (SVM) algorithm for online learning. TVM achieves its favorable scaling b...
Zhuang Wang, Slobodan Vucetic
BMCBI
2006
173views more  BMCBI 2006»
13 years 7 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
WWW
2011
ACM
13 years 2 months ago
A self-training approach for resolving object coreference on the semantic web
An object on the Semantic Web is likely to be denoted with multiple URIs by different parties. Object coreference resolution is to identify “equivalent” URIs that denote the ...
Wei Hu, Jianfeng Chen, Yuzhong Qu
CF
2009
ACM
14 years 2 months ago
Scheduling dynamic parallelism on accelerators
Resource management on accelerator based systems is complicated by the disjoint nature of the main CPU and accelerator, which involves separate memory hierarhcies, different degr...
Filip Blagojevic, Costin Iancu, Katherine A. Yelic...
IPPS
2010
IEEE
13 years 5 months ago
KRASH: Reproducible CPU load generation on many-core machines
Abstract--In this article we present KRASH, a tool for reproducible generation of system-level CPU load. This tool is intended for use in shared memory machines equipped with multi...
Swann Perarnau, Guillaume Huard