209 search results - page 27 / 42 » Bayes Machines for binary classification |
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
In many domains, a Bayesian network's topological structure is not known a priori and must be inferred from data. This requires a scoring function to measure how well a propo...
JMLR
2002
13 years 8 months ago
2002
When constructing a classifier, the probability of correct classification of future data points should be maximized. We consider a binary classification problem where the mean and...
MICAI
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
AICS
2009
13 years 6 months ago
2009
Multi-class classification algorithms are very widely used, but we argue that they are not always ideal from a theoretical perspective, because they assume all classes are characte...
AVSS
2006
IEEE
14 years 16 days ago
2006
IEEE
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...