|
|
|
|
Venues (Conferences, Journals, ...)
|
|
|
GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
No Growbag Graphs found.
|
|
|
|
|
Results
Found 19 publication records. Showing 19 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Halbert White, Jin Seo Cho |
Higher-Order Approximations for Testing Neglected Nonlinearity.  |
Neural Computation  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Halbert White, Karim Chalak, Xun Lu |
Linking Granger Causality and the Pearl Causal Model with Settable Systems.  |
Journal of Machine Learning Research - Proceedings Track  |
2011 |
DBLP BibTeX RDF |
|
| 1 | Jin Seo Cho, Isao Ishida, Halbert White |
Revisiting Tests for Neglected Nonlinearity Using Artificial Neural Networks.  |
Neural Computation  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Jin Seo Cho, Halbert White |
Testing correct model specification using extreme learning machines.  |
Neurocomputing  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Halbert White, Karim Chalak |
Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning.  |
Journal of Machine Learning Research  |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Xiaohong Chen, Halbert White |
Improved Rates and Asymptotic Normality for Nonparametric Neural Network Estimators.  |
IEEE Transactions on Information Theory  |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Mark Plutowski, Garrison W. Cottrell, Halbert White |
Experience with selecting exemplars from clean data.  |
Neural Networks  |
1996 |
DBLP DOI BibTeX RDF |
|
| 1 | 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  |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Valentina Corradi, Halbert White |
Regularized neural networks: some convergence rate results.  |
Neural Computation  |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Joseph E. Yukich, Maxwell B. Stinchcombe, Halbert White |
Sup-norm approximation bounds for networks through probabilistic methods.  |
IEEE Transactions on Information Theory  |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Chung-Ming Kuan, Kurt Hornik, Halbert White |
A Convergence Result for Learning in Recurrent Neural Networks.  |
Neural Computation  |
1994 |
DBLP DOI BibTeX RDF |
|
| 1 | Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer |
Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives.  |
Neural Computation  |
1994 |
DBLP DOI BibTeX RDF |
|
| 1 | Kurt Hornik, Maxwell B. Stinchcombe, Halbert White |
Letters to the editor.  |
Neural Networks  |
1993 |
DBLP DOI BibTeX RDF |
|
| 1 | Mark Plutowski, Shinichi Sakata, Halbert White |
Cross-Validation Estimates ISME.  |
NIPS ![In: Advances in Neural Information Processing Systems 6, [7th NIPS Conference, Denver, Colorado, USA, 1993], pp. 391-398, 1993, Morgan Kaufmann, 1-55860-322-0. The full citation details ...](Pics/full.jpeg) |
1993 |
DBLP BibTeX RDF |
|
| 1 | Mark Plutowski, Garrison W. Cottrell, Halbert White |
Learning Mackey-Glass from 25 Examples, Plus or Minus 2.  |
NIPS ![In: Advances in Neural Information Processing Systems 6, [7th NIPS Conference, Denver, Colorado, USA, 1993], pp. 1135-1142, 1993, Morgan Kaufmann, 1-55860-322-0. The full citation details ...](Pics/full.jpeg) |
1993 |
DBLP BibTeX RDF |
|
| 1 | A. Ronald Gallant, Halbert White |
On learning the derivatives of an unknown mapping with multilayer feedforward networks.  |
Neural Networks  |
1992 |
DBLP DOI BibTeX RDF |
|
| 1 | Halbert White |
Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings.  |
Neural Networks  |
1990 |
DBLP DOI BibTeX RDF |
|
| 1 | Kurt Hornik, Maxwell B. Stinchcombe, Halbert White |
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks.  |
Neural Networks  |
1990 |
DBLP DOI BibTeX RDF |
|
| 1 | Kurt Hornik, Maxwell B. Stinchcombe, Halbert White |
Multilayer feedforward networks are universal approximators.  |
Neural Networks  |
1989 |
DBLP DOI BibTeX RDF |
|
Displaying result #1 - #19 of 19 (100 per page; Change: )
|
|