716 search results - page 62 / 144 » Proactive Network Maintenance Using Machine Learning |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
ACSAC
2005
IEEE
14 years 1 months ago
2005
IEEE
Network intrusion detection systems (NIDSs) critically rely on processing a great deal of state. Often much of this state resides solely in the volatile processor memory accessibl...
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....