120 search results - page 15 / 24 » Nonmonotonic Inferences in Neural Networks |
NIPS
2008
13 years 8 months ago
2008
Uncertainty is omnipresent when we perceive or interact with our environment, and the Bayesian framework provides computational methods for dealing with it. Mathematical models fo...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Multi-relational networks are used extensively to structure knowledge. Perhaps the most popular instance, due to the widespread adoption of the Semantic Web, is the Resource Descr...
IJCAI
1989
13 years 8 months ago
1989
Usually, semantics of inheritance networks is specified indirectly through a translation into one of the standard logical formalisms. Since such translation involves an algorithmi...
NIPS
1997
13 years 8 months ago
1997
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— In this paper we present a method of sequential speech enhancement, where we infer clean speech signal using a Rao-Blackwellized particle filter (RBPF), given a noisecontamina...