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RSKT
2010
Springer
14 years 10 months ago
Naive Bayesian Rough Sets
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...
Yiyu Yao, Bing Zhou
MCS
2000
Springer
15 years 3 months ago
Analysis of a Fusion Method for Combining Marginal Classifiers
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...
Mark D. Happel, Peter Bock
FLAIRS
2004
15 years 1 months ago
An Empirical Study of Probability Elicitation Under Noisy-OR Assumption
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 ...
Adam Zagorecki, Marek J. Druzdzel
95
Voted
ICCV
1999
IEEE
16 years 1 months ago
Qualitative Probabilities for Image Interpretation
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...
Allan D. Jepson, Richard Mann
ISIPTA
2003
IEEE
15 years 5 months ago
Exploring Imprecise Probability Assessments Based on Linear Constraints
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 ...
Radu Lazar, Glen Meeden