1164 search results - page 18 / 233 » A Model Selection Approach for Local Learning |
PR
2008
13 years 7 months ago
2008
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
ESWA
2008
13 years 7 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
ICRA
2006
IEEE
14 years 1 months ago
2006
IEEE
— Mobile robots do not adequately represent the objects in their environment; this weakness hinders a robot’s ability to utilize past experience. In this paper, we describe a s...
BMCBI
2008
13 years 7 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 ...
AIPS
2009
13 years 8 months ago
2009
Nowadays many urban areas have been equipped with networks of surveillance cameras, which can be used for automatic localization and tracking of people. However, given the large r...