306 search results - page 17 / 62 » On multi-view active learning and the combination with semi-... |
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...
TCBB
2011
13 years 2 months ago
2011
—In biomedical data, the imbalanced data problem occurs frequently and causes poor prediction performance for minority classes. It is because the trained classifiers are mostly d...
IADIS
2003
13 years 9 months ago
2003
E-blended learning as a new methodology will be explained. E-blended learning scenario for distance learners will include live sessions. During the last years we developed e-learn...
ICPR
2002
IEEE
14 years 19 days ago
2002
IEEE
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
MICAI
2004
Springer
14 years 1 months ago
2004
Springer
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...