860 search results - page 89 / 172 » Lower Bounds on the Size of Test Data Sets |
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
GECCO
2009
Springer
14 years 13 days ago
2009
Springer
Typical domains used in machine learning analyses only partially cover the complexity space, remaining a large proportion of problem difficulties that are not tested. Since the ac...
EDBT
2004
ACM
14 years 8 months ago
2004
ACM
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
PAMI
2007
13 years 7 months ago
2007
Abstract—We experimentally evaluate bagging and seven other randomizationbased approaches to creating an ensemble of decision tree classifiers. Statistical tests were performed o...