1521 search results - page 56 / 305 » A learning model for oscillatory networks |
SLOGICA
2008
14 years 11 months ago
2008
We study a simple game theoretic model of information transfer which we consider to be a baseline model for capturing strategic aspects of epistemological questions. In particular,...
ICML
2007
IEEE
16 years 21 days ago
2007
IEEE
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...
114
click to vote
ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
ICML
2002
IEEE
16 years 21 days ago
2002
IEEE
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
143
click to vote
BMCBI
2011
14 years 7 months ago
2011
Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...