596 search results - page 38 / 120 » Detecting worm variants using machine learning |
125
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CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
Online boosting is one of the most successful online learning algorithms in computer vision. While many challenging online learning problems are inherently multi-class, online boo...
123
Voted
JMLR
2008
15 years 2 months ago
2008
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
125
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COLT
1999
Springer
15 years 6 months ago
1999
Springer
We focus on methods to solve multiclass learning problems by using only simple and efficient binary learners. We investigate the approach of Dietterich and Bakiri [2] based on er...
123
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ICIP
2006
IEEE
16 years 4 months ago
2006
IEEE
In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
131
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AAAI
2008
15 years 4 months ago
2008
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...