596 search results - page 39 / 120 » Detecting worm variants using machine learning |
125
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MLDM
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
144
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ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
128
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ICML
1997
IEEE
16 years 3 months ago
1997
IEEE
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
117
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COLT
2000
Springer
15 years 7 months ago
2000
Springer
Haussler, Kearns, Seung and Tishby introduced the notion of a shell decomposition of the union bound as a means of understanding certain empirical phenomena in learning curves suc...
116
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NIPS
2004
15 years 4 months ago
2004
We show that anomaly detection can be interpreted as a binary classification problem. Using this interpretation we propose a support vector machine (SVM) for anomaly detection. We...