COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Information-based objective functions for active data selection
Neural Computation
The nature of statistical learning theory
The nature of statistical learning theory
Better subset regression using the nonnegative garrote
Technometrics
Neural network exploration using optimal experiment design
Neural Networks
A generalized discrepancy and quadrature error bound
Mathematics of Computation
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Less is More: Active Learning with Support Vector Machines
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Query Learning with Large Margin Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Support vector machine active learning with applications to text classification
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Active learning via transductive experimental design
ICML '06 Proceedings of the 23rd international conference on Machine learning
Design and Modeling for Computer Experiments (Computer Science & Data Analysis)
Design and Modeling for Computer Experiments (Computer Science & Data Analysis)
Bayesian Inference and Optimal Design for the Sparse Linear Model
The Journal of Machine Learning Research
Sequential optimal design of neurophysiology experiments
Neural Computation
Active learning with statistical models
Journal of Artificial Intelligence Research
Statistical active learning in multilayer perceptrons
IEEE Transactions on Neural Networks
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Maximizing data information requires careful selection, termed design, of the points at which data are observed. Experimental design is reviewed here for broad classes of data collection and analysis problems, including: fractioning techniques based on orthogonal arrays, Latin hypercube designs and their variants for computer experimentation, efficient design for data mining and machine learning applications, and sequential design for active learning. © 2012 Wiley Periodicals, Inc. © 2012 Wiley Periodicals, Inc.