Ypke Hiemstra

1996

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ypke Hiemstra trusts overall

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

1. Richard P. Lippmann
2. B. D. Ripley
3. Scott E. Fahlman
4. Kurt Hornik

Who trusts Ypke Hiemstra overall

1. Giuseppe Ateniese
2. Luigi Vincenzo Mancini
3. Angelo Spognardi

Papers from Ypke Hiemstra's perspective

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

1. An introduction to computing with neural nets
2. Multilayer feedforward networks are universal approximators
3. The Cascade-Correlation Learning Architecture
4. Statistical aspects of neural networks
5. Pattern Recognition and Neural Networks
6. Generalized Linear Models
7. Fast Effective Rule Induction
8. Some methods for classification and analysis of multivariate observations
9. Modern Applied Statistics With S
10. Learning internal representations by error propagation

Their papers

• Linear regression versus back propagation networks to predict quarterly stock market excess returns (1996)