39 search results - page 4 / 8 » On the Use of Accuracy and Diversity Measures for Evaluating... |
ESWA
2008
13 years 5 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 ...
AUSAI
2009
Springer
13 years 9 months ago
2009
Springer
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
SSPR
2004
Springer
13 years 10 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 ...
TIFS
2008
13 years 5 months ago
2008
Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
IAJIT
2011
12 years 8 months ago
2011
: This paper presents a classifier that is based on a modified version of the well known K-Nearest Neighbors classifier (K-NN). The original K-NN classifier was adjusted to work wi...