Neurocomputing
Training connectionist networks with queries and selective sampling
Advances in neural information processing systems 2
Constructing hidden units using examples and queries
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Information-based objective functions for active data selection
Neural Computation
Back-Propagation: Theory, Architecture, and Applications
Back-Propagation: Theory, Architecture, and Applications
Introduction to Biological and Artificial Neural Networks for Pattern Recognition
Introduction to Biological and Artificial Neural Networks for Pattern Recognition
Selecting optimal experiments for feedforward multilayer perceptrons
Selecting optimal experiments for feedforward multilayer perceptrons
Integrated feature architecture selection
IEEE Transactions on Neural Networks
Active Learning with Local Models
Neural Processing Letters
Active learning in neural networks
New learning paradigms in soft computing
Margin-based active learning for LVQ networks
Neurocomputing
| Hi-index | 0.00 |