Jonathan H. Chen

Statistical Learning Theory · with Baldi · 2005–2011

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 10 citations into it

Whom Jonathan H. Chen trusts overall

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

1. Christopher K. I. Williams
2. Judea Pearl
3. David E. Heckerman
4. Christina S. Leslie
5. Pierre Baldi
6. Yiming Yang
7. S. V. N. Vishwanathan
8. Tommi S. Jaakkola
9. David Haussler
10. Hisashi Kashima

Who trusts Jonathan H. Chen overall

1. Fabrizio Costa
2. Gisbert Schneider
3. Pierre Mahé
4. Nikil Wale
5. Alessio Ceroni

Papers from Jonathan H. Chen's perspective

Ordered by how strongly the researchers Jonathan H. Chen 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. Probabilistic reasoning in intelligent systems - networks of plausible inference
4. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
5. Convolution Kernels for Natural Language (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Convolution kernels on discrete structures

Their papers

• Learning to Predict Chemical Reactions (2011) — 175 citations
• Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity (2005) — 206 citations
• One- to Four-Dimensional Kernels for Virtual Screening and the Prediction of Physical, Chemical, and Biological Properties (2007) — 63 citations