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» Regularized Learning with Networks of Features
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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 8 days ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
SOCIALCOM
2010
14 years 6 months ago
Learning Influence Propagation of Personal Blogs with Content and Network Analyses
Weblogs (blogs) serve as a gateway to a large blog reader population, so blog authors can potentially influence a large reader population by expressing their thoughts and expertise...
Il-Chul Moon, Dongwoo Kim, Yohan Jo, Alice H. Oh
BMCBI
2010
179views more  BMCBI 2010»
15 years 1 hour ago
A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties
Background: Genetic interaction profiles are highly informative and helpful for understanding the functional linkages between genes, and therefore have been extensively exploited ...
Zhuhong You, Zheng Yin, Kyungsook Han, De-Shuang H...
MLMI
2004
Springer
15 years 5 months ago
Multistream Dynamic Bayesian Network for Meeting Segmentation
This paper investigates the automatic analysis and segmentation of meetings. A meeting is analysed in terms of individual behaviours and group interactions, in order to decompose e...
Alfred Dielmann, Steve Renals
ICASSP
2011
IEEE
14 years 3 months ago
Time-evolving modeling of social networks
A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
Eric Wang, Jorge Silva, Rebecca Willett, Lawrence ...