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» Multiple Kernel Learning with High Order Kernels
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CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 7 months ago
Sublinear Optimization for Machine Learning
Abstract--We give sublinear-time approximation algorithms for some optimization problems arising in machine learning, such as training linear classifiers and finding minimum enclos...
Kenneth L. Clarkson, Elad Hazan, David P. Woodruff
JCST
2000
89views more  JCST 2000»
13 years 7 months ago
LinuxDirector: A Connection Director for Scalable Internet Services
LinuxDirector is a connection director that supports load balancing among multiple Internet servers, which can be used to build scalable Internet services based on clusters of ser...
Zhang Wensong, Shiyao Jin, Quanyuan Wu
ERSA
2006
111views Hardware» more  ERSA 2006»
13 years 9 months ago
Promises and Pitfalls of Reconfigurable Supercomputing
Reconfigurable supercomputing (RSC) combines programmable logic chips with high performance microprocessors, all communicating over a high bandwidth, low latency interconnection n...
Maya Gokhale, Christopher Rickett, Justin L. Tripp...
MLDM
2007
Springer
14 years 1 months ago
Nonlinear Feature Selection by Relevance Feature Vector Machine
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yo...
WWW
2009
ACM
14 years 8 months ago
Highly scalable web applications with zero-copy data transfer
The performance of server-side applications is becoming increasingly important as more applications exploit the Web application model. Extensive work has been done to improve the ...
Toyotaro Suzumura, Michiaki Tatsubori, Scott Trent...