Benyang Tang
Benyang Tang
Jet Propulsion Laboratory
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Applying neural network models to prediction and data analysis in meteorology and oceanography
WW Hsieh, B Tang
Bulletin of the American Meteorological Society 79 (9), 1855-1870, 1998
Westward motion of mesoscale eddies
B Cushman-Roisin, B Tang, EP Chassignet
Journal of Physical Oceanography 20 (5), 758-768, 1990
Mapping tropical Pacific sea level: Data assimilation via a reduced state space Kalman filter
MA Cane, A Kaplan, RN Miller, B Tang, EC Hackert, AJ Busalacchi
Journal of Geophysical Research: Oceans 101 (C10), 22599-22617, 1996
Forecasting ENSO events: A neural network–extended EOF approach
FT Tangang, B Tang, AH Monahan, WW Hsieh
Journal of Climate 11 (1), 29-41, 1998
Neural network forecasts of the tropical Pacific sea surface temperatures
A Wu, WW Hsieh, B Tang
Neural networks 19 (2), 145-154, 2006
Autonomous off‐road navigation with end‐to‐end learning for the LAGR program
M Bajracharya, A Howard, LH Matthies, B Tang, M Turmon
Journal of Field Robotics 26 (1), 3-25, 2009
Temperature advection: Internal versus external processes
T Lee, I Fukumori, B Tang
Journal of Physical Oceanography 34 (8), 1936-1944, 2004
Skill comparisons between neural networks and canonical correlation analysis in predicting the equatorial Pacific sea surface temperatures
B Tang, WW Hsieh, AH Monahan, FT Tangang
Journal of Climate 13 (1), 287-293, 2000
Geostrophic turbulence and emergence of eddies beyond the radius of deformation
BC Roisin, B Tang
Journal of Physical Oceanography 20 (1), 97-113, 1990
Towards learned traversability for robot navigation: From underfoot to the far field
A Howard, M Turmon, L Matthies, B Tang, A Angelova, E Mjolsness
Journal of Field Robotics 23 (11‐12), 1005-1017, 2006
Multiclass reduced-set support vector machines
B Tang, D Mazzoni
Proceedings of the 23rd International Conference on Machine learning, 921-928, 2006
Forecasting regional sea surface temperatures in the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors
FT Tangang, WW Hsieh, B Tang
Journal of Geophysical Research: Oceans 103 (C4), 7511-7522, 1998
Two-layer geostrophic dynamics. Part I: Governing equations
B Cushman-Roisin, GG Sutyrin, B Tang
Journal of physical oceanography 22 (2), 117-127, 1992
A machine learning classifier for fast radio burst detection at the VLBA
KL Wagstaff, B Tang, DR Thompson, S Khudikyan, J Wyngaard, AT Deller, ...
Publications of the Astronomical Society of the Pacific 128 (966), 084503, 2016
Interannual variability of accumulated snow in the Columbia basin, British Columbia
WW Hsieh, B Tang
Water Resources Research 37 (6), 1753-1759, 2001
Teleconnections between Pacific sea surface temperatures and Canadian prairie wheat yield
WW Hsieh, B Tang, ER Garnett
Agricultural and forest Meteorology 96 (4), 209-217, 1999
Learning long-range terrain classification for autonomous navigation
M Bajracharya, B Tang, A Howard, M Turmon, L Matthies
2008 IEEE International Conference on Robotics and Automation, 4018-4024, 2008
A neural network atmospheric model for hybrid coupled modelling
Y Tang, WW Hsieh, B Tang, K Haines
Climate dynamics 17, 445-455, 2001
On-board analysis of uncalibrated data for a spacecraft at Mars
R Castano, KL Wagstaff, S Chien, TM Stough, B Tang
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
Periods of linear development of the ENSO cycle and POP forecast experiments
B Tang
Journal of climate 8 (4), 682-691, 1995
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