1115 search results - page 32 / 223 » On classification with missing data using rough-neuro-fuzzy ... |
ICDM
2009
IEEE
13 years 6 months ago
2009
IEEE
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
AUSAI
2009
Springer
14 years 1 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...
APBC
2004
13 years 10 months ago
2004
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
JSA
2008
13 years 9 months ago
2008
Conventional snoopy-based chip multiprocessors take an aggressive approach broadcasting snoop requests to all nodes. In addition each node checks all received requests. This appro...
PRICAI
2004
Springer
14 years 2 months ago
2004
Springer
Currently, most human action recognition systems are trained with feature sets that have no missing data. Unfortunately, the use of human pose estimation models to provide more des...