Joseph Sill

1997–2011

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 10 researchers here, as inferred from the citation graph.

Whom Joseph Sill trusts overall

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

1. Stuart Geman
2. Yaser S. Abu-Mostafa
3. Yehuda Koren

Who trusts Joseph Sill overall

1. David Martens
2. Antoine Wehenkel
3. Guy W. Cole
4. Jiaxuan Wang
5. Marina Velikova
6. Gilles Louppe
7. Sinead Williamson
8. Ad Feelders
9. Jeeheh Oh
10. Hennie A. M. Daniels

Papers from Joseph Sill's perspective

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

1. Neural Networks and the Bias/Variance Dilemma
2. The Lack of A Priori Distinctions Between Learning Algorithms
3. Neural Networks in the Capital Markets
4. ImageNet classification with deep convolutional neural networks
5. Information Theory: 1948-1998 - Guest Editorial
6. A Learning Algorithm for Boltzmann Machines
7. A Fast Learning Algorithm for Deep Belief Nets
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning and relearning in Boltzmann machines
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• OrdRec: an ordinal model for predicting personalized item rating distributions (2011) — 197 citations
• Monotonic Networks (1997)