221 search results - page 18 / 45 » Learning from Labeled and Unlabeled Data Using Random Walks |
NIPS
2001
15 years 1 months ago
2001
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
122
Voted
CORR
2010
Springer
14 years 11 months ago
2010
Springer
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
97
Voted
CEAS
2007
Springer
15 years 3 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
113
Voted
CVPR
2011
IEEE
14 years 7 months ago
2011
IEEE
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
97
Voted
COLT
2003
Springer
15 years 4 months ago
2003
Springer
Abstract. We study the problem of learning partitions using equivalence constraints as input. This is a binary classification problem in the product space of pairs of datapoints. ...