A parsimonious mixture of Gaussian trees model for oversampling in imbalanced and multimodal time-series classification

Published in IEEE Transactions of Neural Networks and Learning Systems, 2014

Recommended citation: Hong Cao, Vincent Y. F. Tan, John Z. F. Pang (2014). "A parsimonious mixture of Gaussian trees model for oversampling in imbalanced and multimodal time-series classification." IEEE Transactions of Neural Networks and Learning Systems. http://j-pang.github.io/files/paper2.pdf

This paper extends the previous mixture of gaussian trees framework, including additional analysis and extensive experiments.

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Recommended citation: Hong Cao, Vincent Y. F. Tan, John Z. F. Pang (2014). “A parsimonious mixture of Gaussian trees model for oversampling in imbalanced and multimodal time-series classification.” IEEE Transactions of Neural Networks and Learning Systems.