723 search results - page 38 / 145 » Learning a Hidden Subgraph |
102
Voted
HICSS
2003
IEEE
15 years 5 months ago
2003
IEEE
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
109
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CIKM
2009
Springer
15 years 5 months ago
2009
Springer
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
105
Voted
ISMB
1994
15 years 1 months ago
1994
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
113
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AIEDU
2005
15 years 11 days ago
2005
The Bayesian framework offers a number of techniques for inferring an individual's knowledge state from evidence of mastery of concepts or skills. A typical application where ...
104
Voted
WWW
2010
ACM
15 years 7 months ago
2010
ACM
We propose a novel method, based on concepts from expander graphs, to sample communities in networks. We show that our sampling method, unlike previous techniques, produces subgra...