1484 search results - page 27 / 297 » Semi-supervised Learning from General Unlabeled Data |
NIPS
2004
13 years 9 months ago
2004
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
ICCV
2009
IEEE
15 years 20 days ago
2009
IEEE
Labeling image collections is a tedious task, especially
when multiple labels have to be chosen for each image. In
this paper we introduce a new framework that extends state
of ...
COLING
2010
13 years 2 months ago
2010
We demonstrate the use of context features, namely, names of places, and unlabelled data for the detection of personal name language of origin. While some early work used either r...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
PAKDD
2009
ACM
14 years 2 months ago
2009
ACM
In this paper we propose to study budget semi-supervised learning, i.e., semi-supervised learning with a resource budget, such as a limited memory insufficient to accommodate and/...