Eisaku Maeda

Artificial Intelligence · 2004

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eisaku Maeda trusts overall

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

  1. Robert E. Schapire
  2. Vladimir Naumovich Vapnik
  3. Leo Breiman
  4. David Haussler
  5. Yoav Freund
  6. Michael Collins
  7. Gunnar Rätsch
  8. Yoram Singer
  9. Hisashi Kashima

Who trusts Eisaku Maeda overall

  1. François Rousseau
  2. Sebastian Nowozin
  3. Hiroto Saigo

Papers from Eisaku Maeda's perspective

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

  1. Statistical learning theory
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. BoosTexter: A Boosting-based System for Text Categorization (Machine-mediated learning)
  4. Text Categorization with Support Vector Machines: Learning with Many Relevant Features
  5. Convolution Kernels for Natural Language (Neural Information Processing Systems)
  6. Convolution kernels on discrete structures
  7. Boosting the margin: A new explanation for the effectiveness of voting methods
  8. Text Classification using String Kernels
  9. On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines
  10. Marginalized Kernels Between Labeled Graphs

Their papers