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AMAI
2008
Springer
13 years 7 months ago
Bayesian learning of Bayesian networks with informative priors
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Nicos Angelopoulos, James Cussens
ICML
2010
IEEE
13 years 8 months ago
Rectified Linear Units Improve Restricted Boltzmann Machines
Restricted Boltzmann machines were developed using binary stochastic hidden units. These can be generalized by replacing each binary unit by an infinite number of copies that all ...
Vinod Nair, Geoffrey E. Hinton
COLT
2006
Springer
13 years 11 months ago
The Rademacher Complexity of Linear Transformation Classes
Bounds are given for the empirical and expected Rademacher complexity of classes of linear transformations from a Hilbert space H to a ...nite dimensional space. The results imply ...
Andreas Maurer
CDC
2009
IEEE
139views Control Systems» more  CDC 2009»
13 years 5 months ago
Synchronization stability of complex dynamical networks with probabilistic time-varying delays
Abstract-- A kind of complex dynamical networks with timevarying coupling delays is proposed. By some transformation, the synchronization problem of the complex networks is transfe...
Hongjie Li, Dong Yue, Zhou Gu
ACCV
2007
Springer
14 years 1 months ago
Hand Posture Estimation in Complex Backgrounds by Considering Mis-match of Model
This paper proposes a novel method of estimating 3-D hand posture from images observed in complex backgrounds. Conventional methods often cause mistakes by mis-matches of local ima...
Akihiro Imai, Nobutaka Shimada, Yoshiaki Shirai