29 search results - page 5 / 6 » A Risk Minimization Principle for a Class of Parzen Estimato... |
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
JCIT
2010
13 years 2 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
TIP
2008
13 years 7 months ago
2008
Abstract--Image denoising methods are often designed to minimize mean-squared error (MSE) within the subbands of a multiscale decomposition. However, most high-quality denoising re...
JMLR
2010
2010
Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds
13 years 2 months ago
The presence of asymmetry in the misclassification costs or class prevalences is a common occurrence in the pattern classification domain. While much interest has been devoted to ...