Akebo Yamakami

2011

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Whom Akebo Yamakami trusts overall

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

  1. Gordon V. Cormack
  2. Yiming Yang

Who trusts Akebo Yamakami overall

  1. Andrea Gesmundo
  2. Tiago P. Silva
  3. Tiago A. Almeida
  4. José María Gómez Hidalgo

Papers from Akebo Yamakami's perspective

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

  1. A Comparative Study on Feature Selection in Text Categorization
  2. Email Spam Filtering: A Systematic Review (Foundations and Trends in Information Retrieval)
  3. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  4. C4.5: Programs for Machine Learning
  5. Experiments with a New Boosting Algorithm
  6. Generating Accurate Rule Sets Without Global Optimization
  7. An evaluation of statistical spam filtering techniques (TALIP)
  8. The Nature of Statistical Learning Theory
  9. Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach (arXiv.org)
  10. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods

Their papers