451 search results - page 2 / 91 » Strategies for improving the modeling and interpretability o... |
ECAI
2004
Springer
13 years 11 months ago
2004
Springer
A Bayesian network is an appropriate tool to deal with the uncertainty that is typical of real-life applications. Bayesian network arcs represent statistical dependence between dif...
ICASSP
2009
IEEE
13 years 4 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...
ITRE
2005
IEEE
13 years 12 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
VLSID
2002
IEEE
14 years 6 months ago
2002
IEEE
Switching activity estimation is a crucial step in estimating dynamic power consumption in CMOS circuits. In [1], we proposed a new switching probability model based on Bayesian N...
TNN
1998
13 years 5 months ago
1998
Abstract—It is well known that for finite-sized networks, onestep retrieval in the autoassociative Willshaw net is a suboptimal way to extract the information stored in the syna...