135 search results - page 2 / 27 » Efficient Methods for Dealing with Missing Data in Supervise... |
RSCTC
2000
Springer
13 years 8 months ago
2000
Springer
: In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods t...
ALT
2003
Springer
13 years 8 months ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
ACL
2008
13 years 6 months ago
2008
We present a novel semi-supervised training algorithm for learning dependency parsers. By combining a supervised large margin loss with an unsupervised least squares loss, a discr...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...