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NIPS
2004
15 years 1 months ago
Bayesian inference in spiking neurons
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Sophie Deneve
WSC
1997
15 years 1 months ago
AutoStat: Output Statistical Analysis for AutoMod Users
AutoStat™ is an extension package for AutoMod™ and AutoSched™ models that provides complete support for simulation model experimentation and statistical analysis of outputs....
John S. Carson II
CVPR
2006
IEEE
15 years 5 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
BMCBI
2011
14 years 3 months ago
A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
Raphael Mourad, Christine Sinoquet, Philippe Leray
NN
2006
Springer
232views Neural Networks» more  NN 2006»
14 years 11 months ago
A probabilistic model of gaze imitation and shared attention
An important component of language acquisition and cognitive learning is gaze imitation. Infants as young as one year of age can follow the gaze of an adult to determine the objec...
Matthew W. Hoffman, David B. Grimes, Aaron P. Shon...