1115 search results - page 1 / 223 » On classification with missing data using rough-neuro-fuzzy ... |
AMCS
2010
13 years 5 months ago
2010
DELFI
2006
13 years 6 months ago
2006
: Mobile learning has left the status of a new born child. It is time now to implement some structure into the complex and various activities by a framework presented in this paper...
HIS
2004
13 years 6 months ago
2004
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
MCS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
DIS
2004
Springer
13 years 9 months ago
2004
Springer
Abstract. Attribute value taxonomies (AVTs) have been used to perform AVT-guided decision tree learning on partially or totally missing data. In many cases, user-supplied AVTs are ...