A. Ryutov

2000

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from A. Ryutov's perspective

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

1. Multilayer feedforward networks are universal approximators
2. Neural Networks for Pattern Recognition
3. What Size Net Gives Valid Generalization?
4. The Design of Experiments
5. Applied Logistic Regression (Technometrics)
6. Scalable Algorithms for Association Mining
7. Learning with Kernels: support vector machines, regularization, optimization, and beyond
8. Unbiased Recursive Partitioning: A Conditional Inference Framework
9. An introduction to computing with neural nets
10. Building a Large Annotated Corpus of English: The Penn Treebank

Their papers

• Comparison of the performance of neural network methods and Cox regression for censored survival data (2000) — 92 citations