596 search results - page 21 / 120 » Detecting worm variants using machine learning |
120
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
154
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JNCA
2007
15 years 2 months ago
2007
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper p...
111
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ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
In the standard feature selection problem, we are given a fixed set of candidate features for use in a learning problem, and must select a subset that will be used to train a mode...
111
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ALT
2006
Springer
15 years 11 months ago
2006
Springer
Abstract. Smooth boosting algorithms are variants of boosting methods which handle only smooth distributions on the data. They are proved to be noise-tolerant and can be used in th...
171
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USENIX
2003
15 years 3 months ago
2003
The problem of automatically filtering out spam e-mail using a classifier based on machine learning methods is of great recent interest. This paper gives an introduction to mach...