80 search results - page 15 / 16 » Racing for Conditional Independence Inference |
95
Voted
AIIA
2003
Springer
15 years 2 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
AIME
2005
Springer
14 years 11 months ago
2005
Springer
In recent years, a few researchers have challenged past dogma and suggested methods (such as the IC algorithm) for inferring causal relationship among variables using steady state ...
UAI
1996
14 years 11 months ago
1996
In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...
108
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ML
2000
ACM
14 years 9 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
102
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VLSID
2006
IEEE
15 years 10 months ago
2006
IEEE
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a ...