Halbert White

According to our database, Halbert White authored at least 28 papers between 1988 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Testing a constant mean function using functional regression.

Jin Seo Cho, Meng Huang, Halbert White

Neural Comput. Appl., October, 2023

2012

Higher-Order Approximations for Testing Neglected Nonlinearity.

Halbert White, Jin Seo Cho

Neural Comput., 2012

Causality, Conditional Independence, and Graphical Separation in Settable Systems.

Karim Chalak, Halbert White

Neural Comput., 2012

2011

Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks.

Jin Seo Cho, Isao Ishida, Halbert White

Neural Comput., 2011

Linking Granger Causality and the Pearl Causal Model with Settable Systems.

Halbert White, Karim Chalak, Xun Lu

Proceedings of the Neural Information Processing Systems (NIPS) Mini-Symposium on Causality in Time Series, 2011

Testing correct model specification using extreme learning machines.

Jin Seo Cho, Halbert White

Neurocomputing, 2011

2009

Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning.

Halbert White, Karim Chalak

J. Mach. Learn. Res., 2009

2001

Statistical inference, the bootstrap, and neural-network modeling with application to foreign exchange rates.

Halbert L. White, Jeffrey S. Racine

IEEE Trans. Neural Networks, 2001

Introduction to the special issue on neural networks in financial engineering.

Yaser S. Abu-Mostafa, Amir F. Atiya, Malik Magdon-Ismail, Halbert L. White

IEEE Trans. Neural Networks, 2001

1999

Improved Rates and Asymptotic Normality for Nonparametric Neural Network Estimators.

Xiaohong Chen, Halbert White

IEEE Trans. Inf. Theory, 1999

1996

Experience with selecting exemplars from clean data.

Mark Plutowski, Garrison W. Cottrell, Halbert White

Neural Networks, 1996

1995

Sup-norm approximation bounds for networks through probabilistic methods.

Joseph E. Yukich, Maxwell B. Stinchcombe, Halbert White

IEEE Trans. Inf. Theory, 1995

Regularized neural networks: some convergence rate results.

Valentina Corradi, Halbert White

Neural Comput., 1995

Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction.

William G. Baxt, Halbert White

Neural Comput., 1995

1994

A Convergence Result for Learning in Recurrent Neural Networks.

Chung-Ming Kuan, Kurt Hornik, Halbert White

Neural Comput., 1994

Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives.

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer

Neural Comput., 1994

1993

Selecting concise training sets from clean data.

Mark Plutowski, Halbert White

IEEE Trans. Neural Networks, 1993

Letters to the editor.

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White

Neural Networks, 1993

Cross-Validation Estimates ISME.

Mark Plutowski, Shinichi Sakata, Halbert White

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Learning Mackey-Glass from 25 Examples, Plus or Minus 2.

Mark Plutowski, Garrison W. Cottrell, Halbert White

Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992

On learning the derivatives of an unknown mapping with multilayer feedforward networks.

A. Ronald Gallant, Halbert White

Neural Networks, 1992

1990

Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings.

Halbert White

Neural Networks, 1990

Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks.

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White

Neural Networks, 1990

Approximating and learning unknown mappings using multilayer feedforward networks with bounded weights.

Maxwell B. Stinchcombe, Halbert White

Proceedings of the IJCNN 1990, 1990

1989

Multilayer feedforward networks are universal approximators.

Kurt Hornik, Maxwell B. Stinchcombe, Halbert White

Neural Networks, 1989

Learning in Artificial Neural Networks: A Statistical Perspective.

Halbert White

Neural Comput., 1989

1988

Economic prediction using neural networks: the case of IBM daily stock returns.

Halbert White

Proceedings of International Conference on Neural Networks (ICNN'88), 1988

There exists a neural network that does not make avoidable mistakes.

A. Ronald Gallant, Halbert White

Proceedings of International Conference on Neural Networks (ICNN'88), 1988