889 search results - page 143 / 178 » Probabilistic Neural Network Models for Sequential Data |
MOBIHOC
2006
ACM
14 years 7 months ago
2006
ACM
The performance of a multihop wireless network is typically affected by the interference caused by transmissions in the same network. In a statistical fading environment, the inte...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
In the context of spoken language interpretation, this paper introduces a stochastic approach to infer and compose semantic structures. Semantic frame structures are directly deri...
GLOBECOM
2010
IEEE
13 years 6 months ago
2010
IEEE
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
NIPS
1998
13 years 9 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...