283 search results - page 2 / 57 » Neural Learning from Unbalanced Data |
161
Voted
MCS
2010
Springer
15 years 11 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...
177
Voted
DMIN
2007
15 years 7 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...
162
Voted
ICIC
2007
Springer
16 years 16 days 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...
159
Voted
IJCNN
2006
IEEE
16 years 12 days 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...
156
Voted
ICANN
2010
Springer
15 years 7 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...