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» Predictive Hebbian Learning
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144
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IJAR
2010
130views more  IJAR 2010»
15 years 2 months ago
Learning locally minimax optimal Bayesian networks
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
Tomi Silander, Teemu Roos, Petri Myllymäki
126
Voted
BMCBI
2008
112views more  BMCBI 2008»
15 years 3 months ago
A simplified approach to disulfide connectivity prediction from protein sequences
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...
Marc Vincent, Andrea Passerini, Matthieu Labb&eacu...
148
Voted
BMCBI
2006
105views more  BMCBI 2006»
15 years 3 months ago
CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
Background: One-dimensional protein structures such as secondary structures or contact numbers are useful for three-dimensional structure prediction and helpful for intuitive unde...
Akira R. Kinjo, Ken Nishikawa
128
Voted
HICSS
2005
IEEE
144views Biometrics» more  HICSS 2005»
15 years 9 months ago
Learning with Weblogs: An Empirical Investigation
The study investigates the impact of weblog use on individual learning in a university environment. Weblogs are a relatively new knowledge sharing technology, which enables people...
Helen S. Du, Christian Wagner
134
Voted
ISCAPDCS
2001
15 years 5 months ago
Bandwidth Learning in Distributed Networking Environments for Global Information Dissemination
- This work investigates bandwidth learning algorithms in a version of a distributed heterogeneous data dissemination system called the Agile Information Control Environment (AICE)...
Craig Sullivan, Michael Jurczyk