1766 search results - page 7 / 354 » Classifier Selection Based on Data Complexity Measures |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Classifying high-dimensional numerical data is a very challenging problem. In high dimensional feature spaces, the performance of supervised learning methods suffer from the curse...
ICIAR
2009
Springer
13 years 5 months ago
2009
Springer
This paper presents a robust automatic shape classifier using modular wavelet networks (MWNs). A shape descriptor is constructed based on a combination of global geometric features...
BMCBI
2005
13 years 7 months ago
2005
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
DATAMINE
2002
13 years 7 months ago
2002
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
HIS
2004
13 years 8 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...