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 | 2012 | |
|---|---|---|
| j18 |      | Halbert White, Jin Seo Cho: Higher-Order Approximations for Testing Neglected Nonlinearity. Neural Computation 24(1): 273-287 (2012) |
| j17 | | Karim Chalak, Halbert White: Causality, Conditional Independence, and Graphical Separation in Settable Systems. Neural Computation 24(7): 1611-1668 (2012) |
| 2011 | ||
| j16 | | Jin Seo Cho, Halbert White: Testing correct model specification using extreme learning machines. Neurocomputing 74(16): 2552-2565 (2011) |
| j15 | | Halbert White, Karim Chalak, Xun Lu: Linking Granger Causality and the Pearl Causal Model with Settable Systems. Journal of Machine Learning Research - Proceedings Track 12: 1-29 (2011) |
| j14 | | Jin Seo Cho, Isao Ishida, Halbert White: Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks. Neural Computation 23(5): 1133-1186 (2011) |
| 2009 | ||
| j13 | | Halbert White, Karim Chalak: Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning. Journal of Machine Learning Research 10: 1759-1799 (2009) |
| 1999 | ||
| j12 | | Xiaohong Chen, Halbert White: Improved Rates and Asymptotic Normality for Nonparametric Neural Network Estimators. IEEE Transactions on Information Theory 45(2): 682-691 (1999) |
| 1996 | ||
| j11 | | Mark Plutowski, Garrison W. Cottrell, Halbert White: Experience with selecting exemplars from clean data. Neural Networks 9(2): 273-294 (1996) |
| 1995 | ||
| j10 | | 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 Computation 7(3): 624-638 (1995) |
| j9 | | Valentina Corradi, Halbert White: Regularized neural networks: some convergence rate results. Neural Computation 7(6): 1225-1244 (1995) |
| j8 | | Joseph E. Yukich, Maxwell B. Stinchcombe, Halbert White: Sup-norm approximation bounds for networks through probabilistic methods. IEEE Transactions on Information Theory 41(4): 1021-1027 (1995) |
| 1994 | ||
| j7 | | Chung-Ming Kuan, Kurt Hornik, Halbert White: A Convergence Result for Learning in Recurrent Neural Networks. Neural Computation 6(3): 420-440 (1994) |
| j6 | | Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer: Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. Neural Computation 6(6): 1262-1275 (1994) |
| 1993 | ||
| j5 | | Kurt Hornik, Maxwell B. Stinchcombe, Halbert White: Letters to the editor. Neural Networks 6(1): 3 (1993) |
| c2 | | |
| c1 | | Mark Plutowski, Garrison W. Cottrell, Halbert White: Learning Mackey-Glass from 25 Examples, Plus or Minus 2. NIPS 1993: 1135-1142 |
| 1992 | ||
| j4 | | A. Ronald Gallant, Halbert White: On learning the derivatives of an unknown mapping with multilayer feedforward networks. Neural Networks 5(1): 129-138 (1992) |
| 1990 | ||
| j3 | | Halbert White: Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings. Neural Networks 3(5): 535-549 (1990) |
| j2 | | Kurt Hornik, Maxwell B. Stinchcombe, Halbert White: Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Networks 3(5): 551-560 (1990) |
| 1989 | ||
| j1 | | Kurt Hornik, Maxwell B. Stinchcombe, Halbert White: Multilayer feedforward networks are universal approximators. Neural Networks 2(5): 359-366 (1989) |
Colors in the list of coauthors
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