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GLOBECOM
2008
IEEE
15 years 4 months ago
Support Vector Machines and Random Forests Modeling for Spam Senders Behavior Analysis
— Unwanted and malicious messages dominate Email traffic and pose a great threat to the utility of email communications. Reputation systems have been getting momentum as the sol...
Yuchun Tang, Sven Krasser, Yuanchen He, Weilai Yan...
CCGRID
2002
IEEE
15 years 2 months ago
A Malleable-Job System for Timeshared Parallel Machines
Malleable jobs are parallel programs that can change the number of processors on which they are executing at run time in response to an external command. One of the advantages of ...
Laxmikant V. Kalé, Sameer Kumar, Jayant DeS...
RECOMB
2002
Springer
15 years 10 months ago
Combining pairwise sequence similarity and support vector machines for remote protein homology detection
One key element in understanding the molecular machinery of the cell is to understand the meaning, or function, of each protein encoded in the genome. A very successful means of i...
Li Liao, William Stafford Noble
PR
2006
229views more  PR 2006»
14 years 9 months ago
FS_SFS: A novel feature selection method for support vector machines
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...
Yi Liu, Yuan F. Zheng
NAACL
2001
14 years 11 months ago
Chunking with Support Vector Machines
We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimension...
Taku Kudo, Yuji Matsumoto