Michael A. Lehr

Statistical Learning Theory · 1990–1994

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 6 citations into it

Whom Michael A. Lehr trusts overall

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

1. Paul J. Werbos
2. Geoffrey E. Hinton
3. Terrence J. Sejnowski
4. John J. Hopfield

Who trusts Michael A. Lehr overall

1. Charles M. Bishop
2. Gert Cauwenberghs
3. Joel L. Schiff
4. B. D. Ripley
5. Edwin Kah Pin Chong
6. Paolo Campolucci
7. Andrea Apicella
8. G. Zhang
9. Andrea Soltoggio
10. Alp Kucukelbir

Papers from Michael A. Lehr's perspective

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

1. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences
2. Learning and relearning in Boltzmann machines
3. Neurons with graded response have collective computational properties like those of two-state neurons.
4. Parallel Networks that Learn to Pronounce English Text
5. ImageNet classification with deep convolutional neural networks
6. An introduction to computing with neural nets
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Attention is All you Need (Neural Information Processing Systems)
10. Long Short-Term Memory

Their papers

• Neural networks: applications in industry, business and science (1994)
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation (1990)