Matthew Kabrisky

1990

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

Whom Matthew Kabrisky trusts overall

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

  1. Paul J. Werbos

Who trusts Matthew Kabrisky overall

  1. Paulo Cortez
  2. Mark J. Embrechts

Papers from Matthew Kabrisky's perspective

Ordered by how strongly the researchers Matthew Kabrisky 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. Pattern recognition : a statistical approach
  3. Pattern classification and scene analysis
  4. Training Multilayer Perceptrons with the Extende Kalman Algorithm
  5. The Nature of Statistical Learning Theory
  6. A new approach to linear filtering and prediction problems" transaction of the asme~journal of basic
  7. Universal approximation bounds for superpositions of a sigmoidal function
  8. Neural Networks: A Comprehensive Foundation
  9. Backpropagation Through Time: What It Does and How to Do It
  10. Handbook of Learning and Approximate Dynamic Programming (IEEE Press Series on Computational Intelligence)

Their papers