201 search results - page 1 / 41 » Statistical Comparisons of Classifiers over Multiple Data Se... |
JMLR
2006
13 years 5 months ago
2006
While methods for comparing two learning algorithms on a single data set have been scrutinized for quite some time already, the issue of statistical tests for comparisons of more ...
ICDM
2010
IEEE
13 years 3 months ago
2010
IEEE
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
CORR
1999
Springer
13 years 5 months ago
1999
Springer
: Integrating the outputs of multiple classifiers via combiners or meta-learners has led to substantial improvements in several difficult pattern recognition problems. In this arti...
BMCBI
2008
13 years 5 months ago
2008
Background: Mass spectrometry for biological data analysis is an active field of research, providing an efficient way of high-throughput proteome screening. A popular variant of m...
BMCBI
2007
13 years 5 months ago
2007
Background: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, ...