421 search results - page 9 / 85 » Reducing Label Complexity by Learning From Bags |
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
AAAI
1998
14 years 11 months ago
1998
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Most approaches to classifying media content assume a fixed, closed vocabulary of labels. In contrast, we advocate machine learning approaches which take advantage of the millions...
COLT
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. There has been growing interest in practice in using unlabeled data together with labeled data in machine learning, and a number of different approaches have been develo...
ICAI
2004
14 years 11 months ago
2004
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...