543 search results - page 11 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
ICPR
2000
IEEE
14 years 8 days ago
2000
IEEE
Retrieval techniques based on pure similarity metrics are often suffered from the scales of image features. An alternative approach is to learn a mapping based on queries and rele...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
ACL
2009
13 years 5 months ago
2009
For many NLP tasks, including named entity tagging, semi-supervised learning has been proposed as a reasonable alternative to methods that require annotating large amounts of trai...
PAKDD
2005
ACM
14 years 1 months ago
2005
ACM
Self-training is a semi-supervised learning algorithm in which a learner keeps on labeling unlabeled examples and retraining itself on an enlarged labeled training set. Since the s...
NIPS
2003
13 years 9 months ago
2003
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...