297 search results - page 46 / 60 » Learning from Ambiguously Labeled Examples |
IJCAI
2001
14 years 11 days ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
ACL
2012
12 years 1 months ago
2012
The named entity disambiguation task is to resolve the many-to-many correspondence between ambiguous names and the unique realworld entity. This task can be modeled as a classifi...
TFS
2011
13 years 6 months ago
2011
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
KDD
2002
ACM
14 years 11 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...