283 search results - page 2 / 57 » Neural Learning from Unbalanced Data |
MCS
2010
Springer
13 years 9 months ago
2010
Springer
We have previously described an incremental learning algorithm, Learn++ .NC, for learning from new datasets that may include new concept classes without accessing previously seen d...
DMIN
2007
13 years 6 months ago
2007
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
ICIC
2007
Springer
13 years 11 months ago
2007
Springer
This paper presents a novel fault detection and section estimation method for unbalanced underground distribution systems (UDS). The method proposed is based on artificial neural n...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— This paper proposes a novel method of fusing models for classification of unbalanced data. The unbalanced data contains a majority of healthy (negative) instances, and a minor...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...