Paul S. Bradley

Evaluation & Benchmarks · 1998–2000

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Evaluation & Benchmarks — 5 citations into it
• Optimization & Training — 5 citations into it
• Statistics and Probability — 5 citations into it; #3,899 of 12,932 by trust here, #6,080 by citations

Whom Paul S. Bradley trusts overall

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

1. Olvi L. Mangasarian
2. Vladimir Naumovich Vapni
3. M. Stone
4. Anil K. Jain
5. Kristin P. Bennett
6. Federico Girosi
7. Temple F. Smith
8. Grace Wahba
9. Paul Tseng
10. M. Solodov

Who trusts Paul S. Bradley overall

1. Olvi L. Mangasarian
2. Bharath K. Sriperumbudur
3. Guanghui Lan
4. Bernhard Schölkopf
5. Sun-Yuan Kung
6. Hao Helen Zhang
7. Gilad Lerman
8. Gert R. G. Lanckriet
9. Ying‐Qi Zhao
10. Sebastián Maldonado

Papers from Paul S. Bradley's perspective

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

1. The Nature of Statistical Learning Theory
2. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
3. Neural Networks for Pattern Recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Atomic Decomposition by Basis Pursuit
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• k-Plane Clustering (2000) — 434 citations
• Constrained K-Means Clustering (2000) — 521 citations
• Mathematical Programming for Data Mining: Formulations and Challenges (1999)
• Feature Selection via Concave Minimization and Support Vector Machines (1998)