W. Jarosinski

JOM · 2020

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 W. Jarosinski's perspective

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

  1. Reinforcement Learning: An Introduction
  2. AND T
  3. Statistics for High-Dimensional Data: Methods, Theory and Applications, Peter Buhlman and Sara van de Geer著, Springer, 2011年6月, 558pp., 価格 114,99〓, ISBN 978-3642201912
  4. and s
  5. The Bayesian backfitting relevance vector machine
  6. “Additive Manufacturing Technologies: 3D Printing, Rapid Prototyping, and Direct Digital Manufacturing”, 2nd Edition
  7. Learn
  8. Introduction to machine learning
  9. Neural Networks for Pattern Recognition
  10. Natural Gradient Works Efficiently in Learning

Their papers