William W. Hsieh

William W. Hsieh, Alex J. Cannon, Song Cai, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Online Learning Using Extreme Learning Machines with Self-Adapting Complexity

William W. Hsieh, 2017 .

Bayesian Neural Networks Based Bootstrap Aggregating for Tropical Cyclone Tracks Prediction in South China Sea

Lei Zhu, Jian Jin, William W. Hsieh, 2016, ICONIP.

Forecasting daily streamflow using online sequential extreme learning machines

Aranildo R. Lima, William W. Hsieh, Alex J. Cannon, 2016 .

Nonlinear principal component analysis of noisy data

William W. Hsieh, W. Hsieh, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Machine Learning and Statistics: The Yin and Yang of Data Science (Core Science Keynote)

William W. Hsieh, 2018 .

Nonlinear canonical correlation analysis by neural networks

William W. Hsieh, W. Hsieh, William W. Hsieh, 2000, Neural Networks.

Nonlinear multivariate and time series analysis by neural network methods

William W. Hsieh, W. Hsieh, 2004 .

Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation

Aranildo R. Lima, William W. Hsieh, Alex J. Cannon, 2015, Environ. Model. Softw..

Improving predictions by nonlinear regression models from outlying input data pdf

William W. Hsieh, W. Hsieh, 2020, Journal of Environmental Informatics.

Forecasts of Tropical Pacific Sea Surface Temperatures by Neural Networks and Support Vector Regression

William W. Hsieh, W. Hsieh, Silvestre Aguilar-Martinez, 2009 .

Enhancing predictability by increasing nonlinearity in ENSO and Lorenz systems

William W. Hsieh, W. Hsieh, Z. Ye, 2008 .

Adjoint data assimilation in coupled atmosphere‐ocean models: Determining model parameters in a simple equatorial model

William W. Hsieh, W. Hsieh, Jingxilu, 1997 .

Representation of the quasi‐biennial oscillation in the tropical stratospheric wind by nonlinear principal component analysis

William W. Hsieh, Kevin Hamilton, W. Hsieh, 2002 .

Forecasting regional sea surface temperatures in the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors

William W. Hsieh, Fredolin Tangang, F. Tangang, 1998 .

Nonlinear Modes of North American Winter Climate Variability Derived from a General Circulation Model Simulation.

Francis W. Zwiers, William W. Hsieh, F. Zwiers, 2003 .

Skill Comparisons between Neural Networks and Canonical Correlation Analysis in Predicting the Equatorial Pacific Sea Surface Temperatures

William W. Hsieh, Fredolin Tangang, Adam H. Monahan, 2000 .

Teleconnections between Pacific sea surface temperatures and Canadian prairie wheat yield

William W. Hsieh, W. Hsieh, 1999 .

Summer Sea Surface Temperature Variability off Vancouver Island From Satellite Data

William W. Hsieh, W. Hsieh, W. Fang, 1993 .

Nonlinear atmospheric teleconnections

William W. Hsieh, Amir Shabbar, W. Hsieh, 2006 .

Forecasting the equatorial Pacific sea surface temperatures by neural network models

William W. Hsieh, Fredolin Tangang, F. Tangang, 1997 .

Interannual variability of accumulated snow in the Columbia Basin, British Columbia

William W. Hsieh, B. Tang, W. Hsieh, 2001 .

Nonlinear singular spectrum analysis by neural networks

William W. Hsieh, W. Hsieh, Aiming Wu, 2002 .

The impact of time‐averaging on the detectability of nonlinear empirical relations

William W. Hsieh, Yuval, W. Hsieh, 2002 .

On determining initial conditions and parameters in a simple coupled atmosphere-ocean model by adjoint data assimilation

William W. Hsieh, Jingxi Lu, 1998 .

Surface Wind Speed Prediction in the Canadian Arctic using Non-Linear Machine Learning Methods

William R. Burrows, William W. Hsieh, Zhen Zeng, 2011 .

A Nonlinear Analysis of the ENSO Cycle and Its Interdecadal Changes

William W. Hsieh, Fei-Fei Jin, W. Hsieh, 2005 .

Seasonal Prediction with Error Estimation of Columbia River Streamflow in British Columbia

William W. Hsieh, Yuval, Amir Shabbar, 2003 .

Machine Learning Methods in the Environmental Sciences: Feed-forward neural network models

William W. Hsieh, 2009 .

Nonlinear principal component analysis by neural networks

William W. Hsieh, W. Hsieh, W. W. Hsieh, 2001 .

The Nonlinear Patterns of North American Winter Temperature and Precipitation Associated with ENSO

William W. Hsieh, Amir Shabbar, W. Hsieh, 2005 .

Nonlinear principal component analysis of noisy data

William W. Hsieh, W. Hsieh, William W. Hsieh, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Improvements to the non‐linear principal component analysis method, with applications to ENSO and QBO

William W. Hsieh, W. Hsieh, L. Mysak, 2003 .

Nonlinear singular spectrum analysis

William W. Hsieh, W. Hsieh, Aiming Wu, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

Comparison of statistically downscaled precipitation in terms of future climate indices and daily variability for southern Ontario and Quebec, Canada

William W. Hsieh, Alex J. Cannon, Carlos F. Gaitan, 2014, Climate Dynamics.

The Free Kelvin Wave with Lateral and Vertical Viscosity

William W. Hsieh, W. Hsieh, M. Davey, 1983 .

Global climate change and ocean upwelling

William W. Hsieh, W. Hsieh, G. Boer, 1992 .

ENSO simulation and prediction in a hybrid coupled model with data assimilation

William W. Hsieh, Youmin Tang, W. Hsieh, 2003 .

Hybrid coupled modeling of the tropical Pacific using neural networks

William W. Hsieh, W. Hsieh, Aiming Wu, 2005 .

Seasonal prediction of winter extreme precipitation over Canada by support vector regression

William W. Hsieh, Zhen Zeng, W. R. Burrows, 2010 .

Nonlinear singular spectrum analysis of the tropical stratospheric wind

William W. Hsieh, Kevin Hamilton, W. Hsieh, 2003 .

Simplified nonlinear principal component analysis

William W. Hsieh, W. Hsieh, Bei-Wei Lu, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..