239 search results - page 31 / 48 » Semi-supervised Learning from Unbalanced Labeled Data - An I... |
ACL
2009
13 years 5 months ago
2009
Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few see...
JMLR
2010
13 years 2 months ago
2010
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
NIPS
2007
13 years 9 months ago
2007
We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...
ML
2010
ACM
13 years 6 months ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
We consider the problem of online learning in a changing environment under sparse user feedback. Specifically, we address the classification of music types according to a user...