287 search results - page 5 / 58 » Using Unsupervised Learning for Network Alert Correlation |
IJON
2008
13 years 8 months ago
2008
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
ISNN
2004
Springer
14 years 1 months ago
2004
Springer
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
HICSS
2007
IEEE
14 years 2 months ago
2007
IEEE
This paper proposes a pioneering Battery-Sensing Intrusion Protection System (B-SIPS) for mobile computers, which alerts on power changes detected on small wireless devices, using...
GECCO
2008
Springer
13 years 9 months ago
2008
Springer
A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...