147 search results - page 3 / 30 » Neural Network Classification and Prior Class Probabilities |
ML
2002
ACM
14 years 9 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
ICANN
2009
Springer
15 years 1 months ago
2009
Springer
In the paper a new measure of distance between events/observations in the pattern space is proposed and experimentally evaluated with the use of k-NN classifier in the context of b...
INFORMATICALT
2000
14 years 9 months ago
2000
An estimation of the generalization performance of classifier is one of most important problems in pattern clasification and neural network training theory. In this paper we estima...
ECML
2001
Springer
15 years 2 months ago
2001
Springer
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
NIPS
1996
14 years 11 months ago
1996
: Neural networks are competitive tools for classification problems. In this context, a hint is any piece of prior side information about the classification. Common examples are mo...