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NIPS
1994
14 years 11 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
NN
2000
Springer
165views Neural Networks» more  NN 2000»
14 years 9 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
ICONIP
2007
14 years 11 months ago
Ensemble Neural Networks with Novel Gene-Subsets for Multiclass Cancer Classification
Multiclass gene selection and classification of cancer are rapidly gaining attention in recent years, while conventional rank-based gene selection methods depend on predefined idea...
Jin-Hyuk Hong, Sung-Bae Cho
IJCNN
2006
IEEE
15 years 3 months ago
Semi-supervised feature selection via multiobjective optimization
Abstract— In previous work, we have shown that both unsupervised feature selection and the semi-supervised clustering problem can be usefully formulated as multiobjective optimiz...
Julia Handl, Joshua D. Knowles
HYBRID
1998
Springer
15 years 1 months ago
Switching Controllers Based on Neural Network: Estimates of Stability Regions and Controller Performance
This paper presents new results on switching control using neural networks. Given a set of candidate controllers, a pair of neural networks is trained to identify the stability reg...
Enrique D. Ferreira, Bruce H. Krogh