1115 search results - page 1 / 223 » On classification with missing data using rough-neuro-fuzzy ... |
59
Voted
AMCS
2010
14 years 11 months ago
2010
109
Voted
DELFI
2006
15 years 10 days 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
15 years 10 days 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...
117
Voted
MCS
2007
Springer
15 years 5 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...
94
Voted
DIS
2004
Springer
15 years 2 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 ...