Dietrich Wettschereck

Statistical Learning Theory · 1997

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 5 citations into it

Whom Dietrich Wettschereck trusts overall

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

1. Christopher G. Atkeson
2. Steven L. Salzberg
3. Amos Tversky
4. Igor Kononenko
5. Janet L. Kolodner
6. Douglas L. Medin
7. Usama M. Fayyad
8. Andrew W. Moore
9. Patrice Y. Simard
10. Vladimir Naumovich Vapnik

Who trusts Dietrich Wettschereck overall

1. S. Kotsiantis
2. Ivo Grondman
3. Marko Robnik-Sikonja
4. Stephen Coggeshall
5. Kwang Hyuk Im
6. D. Randall Wilson
7. P. Pintelas
8. Igor Kononenko
9. Ralf Klinkenberg
10. Sang-Chan Park

Papers from Dietrich Wettschereck's perspective

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

1. Pattern classification and scene analysis
2. ImageNet classification with deep convolutional neural networks
3. Local Learning Algorithms
4. Gradient-based learning applied to document recognition
5. Information Theory: 1948-1998 - Guest Editorial
6. Numerical recipes in C
7. Locally Weighted Learning
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Locally Weighted Learning for Control
10. Neural Networks for Pattern Recognition

Their papers

• A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms (1997)