27 search results - page 3 / 6 » Efficient Learning of Deep Boltzmann Machines |
NECO
1998
13 years 9 months ago
1998
FPL
2009
Springer
14 years 2 months ago
2009
Springer
Restricted Boltzmann Machines (RBMs) — the building block for newly popular Deep Belief Networks (DBNs) — are a promising new tool for machine learning practitioners. However,...
CVPR
2012
IEEE
12 years 6 days ago
2012
IEEE
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
NIPS
2007
13 years 11 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
ICML
2010
IEEE
13 years 11 months ago
2010
IEEE
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 ...