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BMCBI
2006
118views more  BMCBI 2006»
14 years 12 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...
COGSCI
2007
87views more  COGSCI 2007»
14 years 11 months ago
Explaining Color Term Typology With an Evolutionary Model
An expression-induction model was used to simulate the evolution of basic color terms to test Berlin and Kay’s (1969) hypothesis that the typological patterns observed in basic ...
Mike Dowman
IJWBC
2006
111views more  IJWBC 2006»
14 years 11 months ago
SIOC: an approach to connect web-based communities
: Online communities are islands of people and topics that are not interlinked. Complementary discussions exist on disparate systems but it is currently difficult to exploit the av...
John G. Breslin, Stefan Decker, Andreas Harth, Uld...
CORR
2007
Springer
140views Education» more  CORR 2007»
14 years 11 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
JIIS
2008
89views more  JIIS 2008»
14 years 11 months ago
A note on phase transitions and computational pitfalls of learning from sequences
An ever greater range of applications call for learning from sequences. Grammar induction is one prominent tool for sequence learning, it is therefore important to know its proper...
Antoine Cornuéjols, Michèle Sebag