5 search results - page 1 / 1 » On the quantitative analysis of deep belief networks |
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
CVPR
2012
IEEE
11 years 6 months ago
2012
IEEE
This paper investigates how to parse (segment) facial components from face images which may be partially occluded. We propose a novel face parser, which recasts segmentation of fa...
ACNS
2011
Springer
12 years 8 months ago
2011
Springer
Abstract. Attackers in particular botnet controllers use stealthy messaging systems to set up large-scale command and control. Understanding the capacity of such communication chan...
JMLR
2012
11 years 6 months ago
2012
Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
CCS
2007
ACM
13 years 10 months ago
2007
ACM
In measuring the overall security of a network, a crucial issue is to correctly compose the measure of individual components. Incorrect compositions may lead to misleading results...