Koichi Yamada

2017

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 Koichi Yamada trusts

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

  1. Richard E. Neapolitan (in Artificial Intelligence)

Papers from Koichi Yamada's perspective

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

  1. Learning Bayesian networks
  2. Data Mining Practical Machine Learning Tools and Techniques
  3. Genome-wide strategies for detecting multiple loci that influence complex diseases (Nature Genetics)
  4. Bayesian inference of epistatic interactions in case-control studies
  5. Causation, Prediction, and Search
  6. Learning Bayesian networks: The combination of knowledge and statistical data
  7. Bayesian Networks and Decision Graphs (Statistics for Engineering and Information Science)
  8. GAMETES: a fast, direct algorithm for generating pure, strict, epistatic models with random architectures
  9. Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease (Nature Genetics)
  10. Monte Carlo Sampling Methods

Their papers