Peter Riegler
Optimization & Training · 1995–2009
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 6 citations into it; #2,276 of 2,601 by trust here, #2,588 by citations
Whom Peter Riegler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Peter Riegler overall
Papers from Peter Riegler's perspective
Ordered by how strongly the researchers Peter Riegler trusts endorse each paper. Same corpus, a different order for every researcher.
- Introduction to the theory of neural computation
- Generalized relevance learning vector quantization (Neural Networks)
- Exact solution for on-line learning in multilayer neural networks.
- Learning Vector Quantization
- Learning drifting concepts with neural networks
- Statistical Mechanics of Learning
- A Bayesian approach to on-line learning
- Probability theory: the logic of science
- A Practical Bayesian Framework for Backprop Networks
- Generalization by Weight-Elimination with Application to Forecasting