1077 search results - page 150 / 216 » Learning network structure from passive measurements |
JMLR
2010
13 years 2 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...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Self-organization of brain areas in animals begins prenatally, evidently driven by spontaneously generated internal patterns. The neural structures continue to develop postnatally...
SEMWEB
2005
Springer
14 years 1 months ago
2005
Springer
This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
UMUAI
1998
13 years 7 months ago
1998
We present an approach to keyhole plan recognition which uses a dynamic belief (Bayesian) network to represent features of the domain that are needed to identify users’ plans and...
PAM
2010
Springer
13 years 9 months ago
2010
Springer
Abstract. In this paper we present OpenTM, a traffic matrix estimation system for OpenFlow networks. OpenTM uses built-in features provided in OpenFlow switches to directly and acc...