6 search results - page 1 / 2 » Semi-supervised Learning with Weakly-Related Unlabeled Data:... |
NIPS
2008
13 years 6 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 2 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
13 years 10 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 5 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 6 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...