Satoshi Sato

2013

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Satoshi Sato trusts overall

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

  1. Isabelle M Guyon
  2. Yiming Yang

Who trusts Satoshi Sato overall

  1. Bing Liu

Papers from Satoshi Sato's perspective

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

  1. An Introduction to Variable and Feature Selection
  2. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
  3. A Comparative Study on Feature Selection in Text Categorization
  4. A Maximum Entropy Approach to Natural Language Processing
  5. Applying Conditional Random Fields to Japanese Morphological Analysis (Conference on Empirical Methods in Natural Language Processing)
  6. The Nature of Statistical Learning Theory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers