295 search results - page 2 / 59 » A framework for quantitative security analysis of machine le... |
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...
INFOCOM
2008
IEEE
13 years 11 months ago
2008
IEEE
—Evaluation of network security is an essential step in securing any network. This evaluation can help security professionals in making optimal decisions about how to design secu...
CCS
2006
ACM
13 years 8 months ago
2006
ACM
Machine learning systems offer unparalled flexibility in dealing with evolving input in a variety of applications, such as intrusion detection systems and spam e-mail filtering. H...
ESORICS
2002
Springer
14 years 4 months ago
2002
Springer
We introduce the ISM approach, a framework for modeling and verifying reactive systems in a formal, even machine-checked, way. The framework has been developed for applications in ...
ECTEL
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents a quantitative analysis of the reuse of learning objects in real world settings. The data for this analysis was obtained from three sources: Connexions' mo...