151 search results - page 9 / 31 » Learning on the border: active learning in imbalanced data c... |
ESANN
2006
13 years 9 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
PAMI
2006
13 years 7 months ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
HIS
2004
13 years 9 months ago
2004
Classification of large datasets is a challenging task in Data Mining. In the current work, we propose a novel method that compresses the data and classifies the test data directl...
IGARSS
2009
13 years 5 months ago
2009
Supervised learners can be used to automatically classify many types of spatially distributed data. For example, land cover classification by hyperspectral image data analysis is ...
TASLP
2010
13 years 2 months ago
2010
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...