1921 search results - page 379 / 385 » Learning from sensor network data |
109
click to vote
SSPR
2004
Springer
15 years 2 months ago
2004
Springer
Classification fusion combines multiple classifications of data into a single classification solution of greater accuracy. Feature extraction aims to reduce the computational cost ...
BMCBI
2008
14 years 9 months ago
2008
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
BMCBI
2008
14 years 9 months ago
2008
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
102
click to vote
ESWA
2011
14 years 1 months ago
2011
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
100
click to vote
WWW
2003
ACM
15 years 10 months ago
2003
ACM
This paper describes a novel approach for obtaining semantic interoperability among data sources in a bottom-up, semiautomatic manner without relying on pre-existing, global seman...