Markus Uhr

2007

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 Markus Uhr's perspective

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

1. Neural Networks for Pattern Recognition
2. A training algorithm for optimal margin classifiers
3. Feature Extraction, Foundations and Applications
4. Estimating the Dimension of a Model
5. Generalization and network design strategies
6. A 3-V 340-mW 14-b 75-Msample/s CMOS ADC with 85-dB SFDR at Nyquist input (IEEE J. Solid State Circuits)
7. Gate-refreshable nanowire chemical sensors
8. A methodology and model for the pull-in parameters of electrostatic actuators
9. What Size Net Gives Valid Generalization?
10. Label-free immunodetection with CMOS-compatible semiconducting nanowires (Nature)

Their papers

• Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark (2007) — 107 citations