30 search results - page 3 / 6 » Multi-label learning by exploiting label dependency |
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Finding good representations of text documents is crucial in information retrieval and classification systems. Today the most popular document representation is based on a vector ...
NLE
2008
13 years 7 months ago
2008
Being able to identify which rhetorical relations (e.g., contrast or explanation) hold between spans of text is important for many natural language processing applications. Using ...