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NIPS
2000
13 years 9 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
INFOCOM
2010
IEEE
13 years 6 months ago
Toward the Practical Use of Network Tomography for Internet Topology Discovery
Abstract—Accurate and timely identification of the routerlevel topology of the Internet is one of the major unresolved problems in Internet research. Topology recovery via tomog...
Brian Eriksson, Gautam Dasarathy, Paul Barford, Ro...
BMCBI
2007
153views more  BMCBI 2007»
13 years 7 months ago
An exploration of alternative visualisations of the basic helix-loop-helix protein interaction network
Background: Alternative representations of biochemical networks emphasise different aspects of the data and contribute to the understanding of complex biological systems. In this ...
Brian J. Holden, John W. Pinney, Simon C. Lovell, ...
JSW
2007
126views more  JSW 2007»
13 years 7 months ago
On Remote and Virtual Experiments in eLearning
— The science of physics is based on theories and models as well as experiments: the former structure relations and simplify reality to a degree such that predictions on physical...
Sabina Jeschke, Harald Scheel, Thomas Richter, Chr...
BIBM
2007
IEEE
104views Bioinformatics» more  BIBM 2007»
13 years 11 months ago
A Protocol to Detect Local Affinities Involved in Proteins Distant Interactions
The tridimensional structure of a protein is constrained or stabilized by some local interactions between distant residues of the protein, such as disulfide bonds, electrostatic i...
Christophe Nicolas Magnan, Cécile Capponi, ...