Halbert White

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 1

Top Topics

Regression Function

Real Valued Functions

Top Venues

Neural Comput. Appl.

Publications

Jin Seo Cho, Meng Huang, Halbert White
Testing a constant mean function using functional regression. Neural Comput. Appl. 35 (29) (2023)
Halbert White, Jin Seo Cho
Higher-Order Approximations for Testing Neglected Nonlinearity. Neural Comput. 24 (1) (2012)
Karim Chalak, Halbert White
Causality, Conditional Independence, and Graphical Separation in Settable Systems. Neural Comput. 24 (7) (2012)
Jin Seo Cho, Isao Ishida, Halbert White
Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks. Neural Comput. 23 (5) (2011)
Jin Seo Cho, Halbert White
Testing correct model specification using extreme learning machines. Neurocomputing 74 (16) (2011)
Halbert White, Karim Chalak, Xun Lu
Linking Granger Causality and the Pearl Causal Model with Settable Systems. NIPS Mini-Symposium on Causality in Time Series (2011)
Halbert White, Karim Chalak
Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning. J. Mach. Learn. Res. 10 (2009)
Xiaohong Chen, Halbert White
Improved Rates and Asymptotic Normality for Nonparametric Neural Network Estimators. IEEE Trans. Inf. Theory 45 (2) (1999)
Mark Plutowski, Garrison W. Cottrell, Halbert White
Experience with selecting exemplars from clean data. Neural Networks 9 (2) (1996)
Joseph E. Yukich, Maxwell B. Stinchcombe, Halbert White
Sup-norm approximation bounds for networks through probabilistic methods. IEEE Trans. Inf. Theory 41 (4) (1995)
Valentina Corradi, Halbert White
Regularized neural networks: some convergence rate results. Neural Comput. 7 (6) (1995)
William G. Baxt, Halbert White
Bootstrapping confidence intervals for clinical input variable effects in a network trained to identify the presence of acute myocardial infarction. Neural Comput. 7 (3) (1995)
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer
Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. Neural Comput. 6 (6) (1994)
Chung-Ming Kuan, Kurt Hornik, Halbert White
A Convergence Result for Learning in Recurrent Neural Networks. Neural Comput. 6 (3) (1994)
Mark Plutowski, Halbert White
Selecting concise training sets from clean data. IEEE Trans. Neural Networks 4 (2) (1993)
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
Letters to the editor. Neural Networks 6 (1) (1993)
Mark Plutowski, Garrison W. Cottrell, Halbert White
Learning Mackey-Glass from 25 Examples, Plus or Minus 2. NIPS (1993)
Mark Plutowski, Shinichi Sakata, Halbert White
Cross-Validation Estimates ISME. NIPS (1993)
A. Ronald Gallant, Halbert White
On learning the derivatives of an unknown mapping with multilayer feedforward networks. Neural Networks 5 (1) (1992)
Maxwell B. Stinchcombe, Halbert White
Approximating and learning unknown mappings using multilayer feedforward networks with bounded weights. IJCNN (1990)
Halbert White
Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings. Neural Networks 3 (5) (1990)
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Networks 3 (5) (1990)
Halbert White
Learning in Artificial Neural Networks: A Statistical Perspective. Neural Comput. 1 (4) (1989)
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
Multilayer feedforward networks are universal approximators. Neural Networks 2 (5) (1989)
Halbert White
Economic prediction using neural networks: the case of IBM daily stock returns. ICNN (1988)
A. Ronald Gallant, Halbert White
There exists a neural network that does not make avoidable mistakes. ICNN (1988)