598 search results - page 6 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
IJAR
2010
13 years 6 months ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
ICRA
2007
IEEE
14 years 2 months ago
2007
IEEE
— In [17] we proposed an RL framework for control of flapping-wing MAVs. The algorithm has been discussed and simulation results using a quasi-steady model showed initial promis...
CGO
2009
IEEE
14 years 2 months ago
2009
IEEE
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...