1216 search results - page 16 / 244 » Predicting relative performance of classifiers from samples |
ICDE
2000
IEEE
14 years 9 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 ...
EMNLP
2009
13 years 5 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
13 years 9 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
13 years 5 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
13 years 8 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...