1837 search results - page 50 / 368 » Abstraction and the C Machine Model |
DSMML
2004
Springer
14 years 2 months ago
2004
Springer
The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
MICCAI
2007
Springer
14 years 9 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
AWIC
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explai...
JMLR
2010
13 years 3 months ago
2010
Alternating Gibbs sampling is the most common scheme used for sampling from Restricted Boltzmann Machines (RBM), a crucial component in deep architectures such as Deep Belief Netw...
FPL
2001
Springer
14 years 1 months ago
2001
Springer
This paper presents new achievements on the automatic mapping of algorithms, written in imperative software programming languages, to custom computing machines. The reconfigurable ...