Robert Burbidge

Computers and Chemistry · 2001–2007

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Whom Robert Burbidge trusts overall

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

1. J. Ross Quinlan
2. Anders Krogh
3. Charles M. Bishop
4. H. Sebastian Seung
5. Naoki Abe
6. David A. Cohn
7. Yoav Freund
8. John A. Hertz
9. Leo Breiman
10. Sreerama K. Murthy

Who trusts Robert Burbidge overall

1. Handing Wang
2. Haitao Liu
3. Chi-Jie Lu
4. Ghanshyam Pilania
5. Abdulhamit Subasi
6. Burr Settles
7. Yaochu Jin
8. Yew-Soon Ong
9. Tian-Shyug Lee

Papers from Robert Burbidge's perspective

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

1. Neural Networks for Pattern Recognition
2. ImageNet classification with deep convolutional neural networks
3. Query by committee
4. Statistical learning theory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. The Nature of Statistical Learning Theory
9. Neural Networks and the Bias/Variance Dilemma
10. Pattern classification and scene analysis

Their papers

• Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis (2001) — 656 citations
• Active Learning for Regression Based on Query by Committee (2007) — 210 citations