698 search results - page 7 / 140 » Bayesian probability |
RSKT
2010
Springer
13 years 6 months ago
2010
Springer
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
MCS
2000
Springer
13 years 11 months ago
2000
Springer
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
FLAIRS
2004
13 years 9 months ago
2004
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
ICCV
1999
IEEE
14 years 9 months ago
1999
IEEE
Two basic problems in image interpretation are: a) determining which interpretations are the most plausible amoungst many possibilities; and b) controlling the search for plausibl...
ISIPTA
2003
IEEE
14 years 25 days ago
2003
IEEE
For many problems there is only suf£cient prior information for a Bayesian decision maker to identify a class of possible prior distributions. In such cases it is of interest to ...