Takashi Takenouchi

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Takashi Takenouchi trusts overall

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

  1. Jerome H. Friedman
  2. Koby Crammer
  3. Ambuj Tewari
  4. Guy Lebanon
  5. Peter L. Bartlett
  6. Gunnar Rätsch
  7. Yoram Singer
  8. John D. Lafferty
  9. Yoav Freund
  10. Robert E. Schapire

Papers from Takashi Takenouchi's perspective

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

  1. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. UCI Repository of machine learning databases
  4. Convexity, Classification, and Risk Bounds
  5. On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines
  6. On the Consistency of Multiclass Classification Methods
  7. Regression Shrinkage and Selection via the Lasso
  8. Boosting and Maximum Likelihood for Exponential Models
  9. Gradient-based learning applied to document recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers