596 search results - page 42 / 120 » Detecting worm variants using machine learning |
136
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Surprisingly, console logs rarely help operators detect problems in large-scale datacenter services, for they often consist of the voluminous intermixing of messages from many sof...
108
Voted
ECML
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
123
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COLT
2000
Springer
15 years 7 months ago
2000
Springer
We investigate the computational complexity of the task of detecting dense regions of an unknown distribution from un-labeled samples of this distribution. We introduce a formal l...
105
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
136
Voted
ICCV
2009
IEEE
15 years 8 months ago
2009
IEEE
A new learning strategy for object detection is presented.
The proposed scheme forgoes the need to train a collection
of detectors dedicated to homogeneous families of poses,
an...