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ICML
2007
IEEE
16 years 2 months ago
Incremental Bayesian networks for structure prediction
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Ivan Titov, James Henderson
INFOCOM
2008
IEEE
15 years 8 months ago
Scalable Localization with Mobility Prediction for Underwater Sensor Networks
—Due to adverse aqueous environments, non-negligible node mobility and large network scale, localization for large-scale mobile underwater sensor networks is very challenging. In...
Zhong Zhou, Jun-Hong Cui, Amvrossios Bagtzoglou
BMCBI
2006
118views more  BMCBI 2006»
15 years 1 months ago
Predicting the effect of missense mutations on protein function: analysis with Bayesian networks
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
Chris J. Needham, James R. Bradford, Andrew J. Bul...
JSAC
2006
93views more  JSAC 2006»
15 years 1 months ago
Performance Enhancement of On-Board Communication Networks Using Outage Prediction
Abstract--A research area that has become increasingly important in recent years is that of on-board mobile communication, where users on a vehicle are connected to a local network...
Adeel Baig, Lavy Libman, Mahbub Hassan
JMLR
2010
136views more  JMLR 2010»
14 years 8 months ago
Predicting the functions of proteins in Protein-Protein Interaction networks from global information
In this work we present a novel approach to predict the function of proteins in protein-protein interaction (PPI) networks. We classify existing approaches into inductive and tran...
Hossein Rahmani, Hendrik Blockeel, Andreas Bender