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» A distributed machine learning framework
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ML
2010
ACM
138views Machine Learning» more  ML 2010»
13 years 5 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
AAMAS
2004
Springer
13 years 10 months ago
Functional Validation in Grid Computing
The development of the World Wide Web has changed the way we think about information. Information on the web is distributed, updates are made asynchronously and resources come onli...
Guofei Jiang, George Cybenko
AIPRF
2008
14 years 6 days ago
Spam Sender Detection with Classification Modeling on Highly Imbalanced Mail Server Behavior Data
Unsolicited commercial or bulk emails or emails containing viruses pose a great threat to the utility of email communications. A recent solution for filtering is reputation systems...
Yuchun Tang, Sven Krasser, Dmitri Alperovitch, Pau...
PR
2008
144views more  PR 2008»
13 years 10 months ago
Kernel quadratic discriminant analysis for small sample size problem
It is generally believed that quadratic discriminant analysis (QDA) can better fit the data in practical pattern recognition applications compared to linear discriminant analysis ...
Jie Wang, Konstantinos N. Plataniotis, Juwei Lu, A...
CONCURRENCY
1998
130views more  CONCURRENCY 1998»
13 years 10 months ago
JPVM: network parallel computing in Java
The JPVM library is a software system for explicit message-passing based distributed memory MIMD parallel programming in Java. The library supports an interface similar to the C a...
Adam Ferrari