Active learning in neural networks
New learning paradigms in soft computing
On learning multicategory classification with sample queries
Information and Computation
Incremental Active Learning for Optimal Generalization
Neural Computation
Generalization and Selection of Examples in Feedforward Neural Networks
Neural Computation
Active learning for logistic regression: an evaluation
Machine Learning
Gaussian sum approach with optimal experiment design for neural network
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Bayesian Monte Carlo for the Global Optimization of Expensive Functions
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Additive sequential evolutionary design of experiments
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Multi-output local Gaussian process regression: Applications to uncertainty quantification
Journal of Computational Physics
Model guided adaptive design and analysis in computer experiment
Statistical Analysis and Data Mining
Optimal experiment design based on local model networks and multilayer perceptron networks
Engineering Applications of Artificial Intelligence
ASK: adaptive sampling kit for performance characterization
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
Active learning of intuitive control knobs for synthesizers using gaussian processes
Proceedings of the 19th international conference on Intelligent User Interfaces
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