45 search results - page 3 / 9 » Effective label acquisition for collective classification |
ICML
2010
IEEE
14 years 10 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
2006
IEEE
15 years 11 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...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
ECIR
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. This paper investigates a new extension of the Probabilistic Latent Semantic Analysis (PLSA) model [6] for text classification where the training set is partially labeled...
CG
2010
Springer
14 years 7 months ago
2010
Springer
Generating, grouping, and labeling free-sketch data is a difficult and time-consuming task for both user study participants and researchers. To simplify this process for both part...