27 search results - page 3 / 6 » Learning Fuzzy Linguistic Models from Low Quality Data by Ge... |
ENGL
2007
13 years 6 months ago
2007
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
ACMSE
2006
ACM
13 years 12 months ago
2006
ACM
Computing reliable gene expression levels from microarray experiments is a sophisticated process with many potential pitfalls. Quality control is one of the most important steps i...
FUIN
2011
12 years 9 months ago
2011
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
EC
2010
13 years 3 months ago
2010
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...