Don R. Hush

Artificial Intelligence · 2005–2010

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it; #25,132 of 35,345 by trust here, #19,873 by citations
• Statistical Learning Theory — 15 citations into it; #369 of 1,038 by trust here, #560 by citations
• Statistics and Probability — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it; #15,461 of 21,575 by trust here, #13,269 by citations
• Mathematical Physics — 7 citations into it

Whom Don R. Hush trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ingo Steinwart
2. S. Sathiya Keerthi
3. Rong-En Fan
4. Pai-Hsuen Chen
5. Steve Smale
6. Markos Markou
7. Bernhard Schölkopf
8. John Shawe-Taylor
9. Chih-Jen Lin
10. Clint Scovel

Who trusts Don R. Hush overall

1. Ingo Steinwart
2. Francis R. Bach
3. Francesco Orabona
4. L. Eon Bottou
5. Alessandro Rudi
6. Shai Shalev-Shwartz
7. Tatiana Tommasi
8. Paul Tseng
9. Lorenzo Rosasco
10. Hamed Karimi

Papers from Don R. Hush's perspective

Ordered by how strongly the researchers Don R. Hush trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. The Nature of Statistical Learning Theory

Their papers

• Radial kernels and their reproducing kernel Hilbert spaces (2010) — 40 citations
• Optimal Rates for Regularized Least Squares Regression (2009) — 332 citations
• An Explicit Description of the Reproducing Kernel Hilbert Spaces of Gaussian RBF Kernels (2006) — 290 citations
• QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines (2006) — 88 citations
• A Classification Framework for Anomaly Detection (2005) — 359 citations