19 search results - page 1 / 4 » Using the Central Limit Theorem for Belief Network Learning |
AMAI
2004
Springer
13 years 10 months ago
2004
Springer
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
NECO
2008
13 years 4 months ago
2008
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
ICRA
2006
IEEE
13 years 10 months ago
2006
IEEE
— We present a system of coupled nonlinear oscillators to be used as programmable central pattern generators, and apply it to control the locomotion of a humanoid robot. Central ...
MOR
2010
12 years 11 months ago
2010
Given an oblique reflection map and functions , Dlim (the space of functions that have left and right limits at every point), the directional derivative () of along , evaluate...
PAM
2010
Springer
13 years 6 months ago
2010
Springer
We estimate the number of active machines per hour infected with the Conficker-C worm, using a probability model of Conficker-C's UDP P2P scanning behavior. For an observer wi...