143 search results - page 2 / 29 » Modeling Unreliable Observations in Bayesian Networks by Cre... |
SAC
2008
ACM
13 years 4 months ago
2008
ACM
The ability to infer parameters of gene regulatory networks is emerging as a key problem in systems biology. The biochemical data are intrinsically stochastic and tend to be observ...
EACL
2006
ACL Anthology
13 years 6 months ago
2006
ACL Anthology
The NLP systems often have low performances because they rely on unreliable and heterogeneous knowledge. We show on the task of non-anaphoric it identification how to overcome the...
IPMU
1992
Springer
13 years 9 months ago
1992
Springer
This paper deals with the problem of inference under uncertain information. This is a generalization of a paper of Cardona et al. (1991a) where rules were not allowed to contain n...
DSN
2006
IEEE
13 years 9 months ago
2006
IEEE
We construct, analyze and solve models of systems where a number of servers offer services to an incoming stream of demands. Each server goes through alternating periods of being ...
APIN
1999
13 years 5 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...