William W. Hsieh

13 papers B 5Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Improving predictions by nonlinear regression models from outlying input data. CoRR William W. Hsieh
2016	—	`conf`	Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea. ICONIP (3) Lei Zhu, Jian Jin, Alex J. Cannon, William W. Hsieh
2015	J	`jnl`	Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation. Environ. Model. Softw. Aranildo R. Lima, Alex J. Cannon, William W. Hsieh
2013	J	`jnl`	Nonlinear regression in environmental sciences by support vector machines combined with evolutionary strategy. Comput. Geosci. Aranildo R. Lima, Alex J. Cannon, William W. Hsieh
2012	B	`conf`	Downscaling temperature and precipitation using support vector regression with evolutionary strategy. IJCNN Aranildo R. Lima, Alex J. Cannon, William W. Hsieh
2008	B	`conf`	A comparison of bayesian and conditional density models in probabilistic ozone forecasting. IJCNN Song Cai, William W. Hsieh, Alex J. Cannon
2007	J	`jnl`	Nonlinear principal component analysis of noisy data. Neural Networks William W. Hsieh
2006	J	`jnl`	Neural network forecasts of the tropical Pacific sea surface temperatures. Neural Networks Aiming Wu, William W. Hsieh, Benyang Tang
2006	B	`conf`	Nonlinear principal component analysis of noisy data. IJCNN William W. Hsieh
2005	J	`jnl`	Complex-valued neural networks for nonlinear complex principal component analysis. Neural Networks Sanjay S. P. Rattan, William W. Hsieh
2005	B	`conf`	Nonlinear complex principal component analysis and its applications. IJCNN Sanjay S. P. Rattan, William W. Hsieh, B. Gerben Ruessink
2003	B	`conf`	Simplified nonlinear principal component analysis. IJCNN Beiwei Lu, William W. Hsieh
2000	J	`jnl`	Nonlinear canonical correlation analysis by neural networks. Neural Networks William W. Hsieh