Voronoi diagrams—a survey of a fundamental geometric data structure
ACM Computing Surveys (CSUR)
Vector quantization and signal compression
Vector quantization and signal compression
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The quickhull algorithm for convex hulls
ACM Transactions on Mathematical Software (TOMS)
Selecting optimal experiments for multiple output multilayer perceptrons
Neural Computation
Self-Organizing Maps
Information, Prediction, and Query by Committee
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Neural Network Exploration Using Optional Experiment Design
Neural Network Exploration Using Optional Experiment Design
Selective sampling for nearest neighbor classifiers
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Active learning in neural networks
New learning paradigms in soft computing
ActiveCP: A Method for Speeding up User Preferences Acquisition in Collaborative Filtering Systems
SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Clustering of Categoric Data in Medicine - Application of Evolutionary Algorithms
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Selective Sampling for Nearest Neighbor Classifiers
Machine Learning
Margin-based active learning for LVQ networks
Neurocomputing
Active learning for microarray data
International Journal of Approximate Reasoning
Active learning with multiple views
Journal of Artificial Intelligence Research
GMM and ANN hybrid model and its application in speaker identification
ICNC'09 Proceedings of the 5th international conference on Natural computation
Expert Systems with Applications: An International Journal
EGAL: exploration guided active learning for TCBR
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Active learning with wavelets for microarray data
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
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In this contribution, we deal with active learning, which gives thelearner the power to select training samples. We propose a novel queryalgorithm for local learning models, a class of learners that has notbeen considered in the context of active learning until now. Our queryalgorithm is based on the idea of selecting a query on the borderlineof the actual classification. This is done by drawing on thegeometrical properties of local models that typically induce a Voronoitessellation on the input space, so that the Voronoi vertices of thistessellation offer themselves as prospective query points. Theperformance of the new query algorithm is tested on the two-spiralsproblem with promising results.