1419 search results - page 116 / 284 » Approximation Methods for Supervised Learning |
95
Voted
ISMIS
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...
112
Voted
CVPR
2008
IEEE
15 years 2 months ago
2008
IEEE
We consider the problem of visual categorization with minimal supervision during training. We propose a partbased model that loosely captures structural information. We represent ...
123
Voted
AUSDM
2007
Springer
15 years 6 months ago
2007
Springer
This paper reports the results of feature reduction in the analysis of a population based dataset for which there were no specific target variables. All attributes were assessed a...
100
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ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
126
Voted
IAT
2003
IEEE
15 years 5 months ago
2003
IEEE
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...