Clyde Lee Giles
Affiliations: | Pennsylvania State University, State College, PA, United States |
Area:
Information retrieval, knowledge extraction, machine and deep learningGoogle:
"Clyde Giles"Mean distance: (not calculated yet)
Parents
Sign in to add mentor| Harrison H. Barrett | grad student | 1981 | University of Arizona (MathTree) |
Children
Sign in to add trainee| Shaurya Rohatgi | grad student | Penn State (Evolution Tree) | |
| Alexander G. Ororbia II | grad student | 2013- | Penn State (LinguisTree) |
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Publications
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| Ororbia A, Mali A, Giles CL, et al. (2020) Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations. Ieee Transactions On Neural Networks and Learning Systems |
| Wang Q, Zhang K, Ororbia Ii AG, et al. (2018) An Empirical Evaluation of Rule Extraction from Recurrent Neural Networks. Neural Computation. 1-24 |
| Ororbia Ii AG, Kifer D, Giles CL. (2017) Unifying Adversarial Training Algorithms with Data Gradient Regularization. Neural Computation. 1-21 |
| Das Gollapalli S, Caragea C, Mitra P, et al. (2015) Improving researcher homepage classification with unlabeled data Acm Transactions On the Web. 9 |
| Ertekin S, Bottou L, Giles CL. (2011) Nonconvex online support vector machines. Ieee Transactions On Pattern Analysis and Machine Intelligence. 33: 368-81 |
| Omlin CW, Giles CL. (1996) Extraction of rules from discrete-time recurrent neural networks Neural Networks. 9: 41-52 |
| Giles CL, Omlin CW. (1994) Pruning recurrent neural networks for improved generalization performance. Ieee Transactions On Neural Networks. 5: 848-51 |
| Giles CL, Omlin CW. (1994) Pruning Recurrent Neural Networks for Improved Generalization Performance Ieee Transactions On Neural Networks. 5: 848-851 |
| MILLER CB, GILES CL. (1993) EXPERIMENTAL COMPARISON OF THE EFFECT OF ORDER IN RECURRENT NEURAL NETWORKS International Journal of Pattern Recognition and Artificial Intelligence. 7: 849-872 |
| Giles CL, Onilin CW. (1993) Extraction, Insertion and Refinement of Symbolic Rules in Dynamically Driven Recurrent Neural Networks Connection Science. 5: 307-337 |