Sander van Cranenburgh

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sander van Cranenburgh trusts overall

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

  1. David Haussler
  2. Davide Castelvecchi
  3. Shai Shalev-Shwartz
  4. David A. Hensher
  5. Anselm Blumer
  6. Shai Ben-David
  7. John M. Rose

Papers from Sander van Cranenburgh's perspective

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

  1. Pattern Recognition and Machine Learning
  2. Deep Learning
  3. Learnability and the Vapnik-Chervonenkis dimension
  4. What Size Net Gives Valid Generalization?
  5. Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications
  6. Multilayer feedforward networks are universal approximators
  7. Neural networks for pattern recognition
  8. Understanding Machine Learning - From Theory to Algorithms
  9. Neural Networks: Tricks of the Trade
  10. Applied Choice Analysis: A Primer

Their papers