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IJAIT
2007
180views more  IJAIT 2007»
15 years 3 months ago
Detection and Prediction of Rare Events in Transaction Databases
Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have s...
Christos Berberidis, Ioannis P. Vlahavas
BMCBI
2004
208views more  BMCBI 2004»
15 years 3 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
BMCBI
2010
178views more  BMCBI 2010»
15 years 4 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
ACSAC
2010
IEEE
14 years 7 months ago
Friends of an enemy: identifying local members of peer-to-peer botnets using mutual contacts
In this work we show that once a single peer-to-peer (P2P) bot is detected in a network, it may be possible to efficiently identify other members of the same botnet in the same ne...
Baris Coskun, Sven Dietrich, Nasir D. Memon
ICPR
2008
IEEE
16 years 5 months ago
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...