221 search results - page 2 / 45 » Learning from Labeled and Unlabeled Data Using Random Walks |
KDD
2008
ACM
14 years 6 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
KDD
2008
ACM
14 years 6 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
COLT
2005
Springer
13 years 11 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...
AAAI
1998
13 years 7 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...
CVPR
2003
IEEE
14 years 8 months ago
2003
IEEE
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...