538 search results - page 5 / 108 » Mining Relevant Text from Unlabelled Documents |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
KDD
2008
ACM
14 years 7 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 ...
NIPS
2008
13 years 8 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...
KDD
2003
ACM
14 years 7 months ago
2003
ACM
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
We consider the problem of Semi-supervised Learning (SSL) from general unlabeled data, which may contain irrelevant samples. Within the binary setting, our model manages to better...