Exploration in active learning
The handbook of brain theory and neural networks
Classification of general audio data for content-based retrieval
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Sound-source recognition: a theory and computational model
Sound-source recognition: a theory and computational model
Active learning for class probability estimation and ranking
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Active learning for probabilistic neural networks
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Cross-validation with active pattern selection for neural-network classifiers
IEEE Transactions on Neural Networks
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In this work an active learning PNN was used to recognize instru-mental sounds. LPC and MFCC coefficients with different orders were used as features. The best analysis orders were found by using passive PNNs and these sets were used with active learning PNNs. By realizing some experiments, it was shown that the entire performance was improved by using the active learning algorithm.