3556 search results - page 158 / 712 » Can machine learning be secure |
ECML
2006
Springer
14 years 2 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
ESOP
2010
Springer
14 years 2 months ago
2010
Springer
Language-based information flow methods offer a principled way to enforce strong security properties, but enforcing noninterference is too inflexible for realistic applications. Se...
ICCS
2005
Springer
14 years 4 months ago
2005
Springer
The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The p...
ECML
2007
Springer
14 years 5 months ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
ECML
2004
Springer
14 years 4 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...