Stuart Andrews

Statistical Learning Theory · 2002

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 99 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 6 citations into it; #152 of 1,038 by trust here, #186 by citations

Whom Stuart Andrews trusts overall

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

1. Philip M. Long
2. Sally A. Goldman
3. Thomas G. Dietterich
4. Yuhai Wu
5. Thorsten Joachims
6. Oded Maron
7. Tomas Lozano-Perez
8. Lei Tan
9. Bernhard E. Boser
10. Isabelle M Guyon

Who trusts Stuart Andrews overall

1. Zhi-Hua Zhou
2. Dan Zhang
3. Boris Babenko
4. Deepak Pathak
5. Sudheendra Vijayanarasimhan
6. James R. Foulds
7. Razvan C. Bunescu
8. Abhinav Kumar Gupta
9. Kristen Grauman
10. Jiajun Wu

Papers from Stuart Andrews's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Statistical Learning Theory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Reinforcement Learning: An Introduction
7. A training algorithm for optimal margin classifiers
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Transductive Inference for Text Classification using Support Vector Machines

Their papers

• Support Vector Machines for Multiple-Instance Learning (2002) — 1,662 citations
• Multiple instance learning with generalized support vector machines (2002) — 117 citations