179 search results - page 15 / 36 » Neural Learning from Unbalanced Data Using Noise Modeling |
TOIS
2010
13 years 7 months ago
2010
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
ESANN
2007
13 years 10 months ago
2007
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
NN
2006
Springer
13 years 8 months ago
2006
Springer
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
CSB
2005
IEEE
14 years 2 months ago
2005
IEEE
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
JAIR
2008
13 years 8 months ago
2008
Experience in the physical sciences suggests that the only realistic means of understanding complex systems is through the use of mathematical models. Typically, this has come to ...