Hirohiko Shima

International Conference on Geometric Science of Information · 2013

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 Hirohiko Shima trusts overall

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

  1. Shun-ichi Amari

Who trusts Hirohiko Shima overall

  1. Frédéric Barbaresco
  2. Frank Nielsen

Papers from Hirohiko Shima's perspective

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

  1. Separation of a mixture of independent signals using time delayed correlations.
  2. On Measures of Entropy and Information
  3. Natural Gradient Works Efficiently in Learning
  4. A New Learning Algorithm for Blind Signal Separation
  5. Adaptive Online Learning Algorithms for Blind Separation: Maximum Entropy and Minimum Mutual Information
  6. Blind separation of sources, Part I" An adaptive algorithm based on neuromimetic architecture
  7. Natural Gradient Works Eciently in Learning
  8. Regularization and complexity control in feed-forward networks
  9. Learning internal representations by error propagation
  10. Using labeled data to evaluate change detectors in a multivariate streaming environment

Their papers