1216 search results - page 16 / 244 » Predicting relative performance of classifiers from samples |
184
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ICDE
2000
IEEE
15 years 10 months ago
2000
IEEE
Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...
84
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EMNLP
2009
14 years 7 months ago
2009
This paper presents a new approach to selecting the initial seed set using stratified sampling strategy in bootstrapping-based semi-supervised learning for semantic relation class...
APBC
2003
14 years 11 months ago
2003
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
EMNLP
2010
14 years 7 months ago
2010
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
3DPH
2009
14 years 10 months ago
2009
Abstract. In this paper, a method is presented that allows reconstructing the full-body pose of a person in real-time, based on the limited input from a few wearable inertial senso...