Takeshi Yamada

Artificial Intelligence · with Griffiths · 2006

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

Subfields

Whom Takeshi Yamada trusts overall

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

  1. Alexa T. McCray
  2. Carl E. Rasmussen
  3. Jim Pitman

Papers from Takeshi Yamada's perspective

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

  1. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
  2. Combinatorial Stochastic Processes
  3. Learning the structure of Markov logic networks (International Conference on Machine Learning)
  4. Learning Probabilistic Models of Link Structure
  5. Estimation and Prediction for Stochastic Blockstructures
  6. Dimensionality of Nations project: attributes of nations and behavior of nation dyads
  7. Inductive Logic Programming: Theory and Methods
  8. Estimating Probabilities of Default for German Savings Banks and Credit Cooperatives (Social Science Research Network)
  9. An Upper-Level Ontology for the Biomedical Domain
  10. The Infinite Gaussian Mixture Model

Their papers