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HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
14 years 28 days ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
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...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
ISMB
1998
13 years 9 months ago
Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model
A hidden Markov model of signal peptides has been developed. It contains submodels for the N-terminal part, the hydrophobic region, and the region around the cleavage site. For kn...
Henrik Nielsen, Anders Krogh
ECML
2007
Springer
14 years 1 months ago
Spectral Clustering and Embedding with Hidden Markov Models
Abstract. Clustering has recently enjoyed progress via spectral methods which group data using only pairwise affinities and avoid parametric assumptions. While spectral clustering ...
Tony Jebara, Yingbo Song, Kapil Thadani
BMCBI
2010
87views more  BMCBI 2010»
13 years 7 months ago
Epigenetic domains found in mouse embryonic stem cells via a hidden Markov model
Background: Epigenetics is an important layer of transcriptional control necessary for cell-type specific gene regulation. Recent studies have shown significant epigenetic pattern...
Jessica L. Larson, Guo-Cheng Yuan
ACMSE
2005
ACM
14 years 1 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha