6 search results - page 1 / 2 » Semi-supervised Learning with Weakly-Related Unlabeled Data:... |
NIPS
2008
13 years 10 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
EMNLP
2010
13 years 6 months ago
2010
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
CICLING
2004
Springer
14 years 1 months ago
2004
Springer
When text categorization is applied to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. In this paper, we...
WWW
2006
ACM
14 years 9 months ago
2006
ACM
Large-scale text categorization is an important research topic for Web data mining. One of the challenges in large-scale text categorization is how to reduce the amount of human e...
AAAI
2006
13 years 10 months ago
2006
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...