286 search results - page 12 / 58 » Learning to Classify Texts Using Positive and Unlabeled Data |
NIPS
2001
13 years 10 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
ICDM
2009
IEEE
13 years 6 months ago
2009
IEEE
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...
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...
ECIR
2003
Springer
13 years 10 months ago
2003
Springer
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
ICMLA
2007
13 years 10 months ago
2007
We apply a new active learning formulation to the problem of learning medical concepts from unstructured text. The new formulation is based on maximizing the mutual information th...