Sotabase

Career

· Professor Of Old Testament, Bethel University1980–2008
· Dean, Institute of Holy Land Studies1973–1980
· Doctor of Philosophy (PhD), Ancient Near Eastern Studies, The Dropsie University1969–1972

Publications (133)

A Unifying View of Sparse Approximate Gaussian Process Regression
Journal of machine learning research · 2005
2,145
cited
PILCO: A Model-Based and Data-Efficient Approach to Policy Search
International Conference on Machine Learning · 2011
1,754
cited
The Infinite Gaussian Mixture Model
Neural Information Processing Systems · 1999
1,472
cited
Gaussian Processes for Machine Learning (GPML) Toolbox
Journal of machine learning research · 2010
1,069
cited
Gaussian Processes for Data-Efficient Learning in Robotics and Control
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2015
726
cited
Sparse Spectrum Gaussian Process Regression
Journal of machine learning research · 2010
526
cited
Evaluation of Gaussian processes and other methods for non-linear regression
1997
522
cited
Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting
Neural Information Processing Systems · 2002
491
cited
Approximations for Binary Gaussian Process Classification
2008
418
cited
Warped Gaussian Processes
Neural Information Processing Systems · 2003
381
cited
Derivative Observations in Gaussian Process Models of Dynamic Systems
Neural Information Processing Systems · 2002
365
cited
Additive Gaussian Processes
Neural Information Processing Systems · 2011
354
cited
Assessing Approximate Inference for Binary Gaussian Process Classification
Journal of machine learning research · 2005
344
cited
Bayesian Monte Carlo
Neural Information Processing Systems · 2002
318
cited
Gaussian Processes in Reinforcement Learning
Neural Information Processing Systems · 2003
301
cited
Manifold Gaussian Processes for regression
IEEE International Joint Conference on Neural Network · 2014
286
cited
Deep Convolutional Networks as shallow Gaussian Processes
International Conference on Learning Representations · 2018
282
cited
Gaussian process model based predictive control
Proceedings of the 2004 American Control Conference · 2004
278
cited
Gaussian Process Training with Input Noise
Neural Information Processing Systems · 2011
277
cited
Understanding Probabilistic Sparse Gaussian Process Approximations
Neural Information Processing Systems · 2016
274
cited
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