Michael Fop

Artificial Intelligence · 2016

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 Michael Fop trusts overall

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

  1. Chris Fraley
  2. Adrian E. Raftery
  3. Friedrich Leisch
  4. P. Deb
  5. Bettina Grün
  6. Gábor Csárdi
  7. Valentin Todorov
  8. Arthur P. Dempster
  9. Olvi L. Mangasarian

Who trusts Michael Fop overall

  1. Florian Brühlmann

Papers from Michael Fop's perspective

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

  1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  2. Assessing a Mixture Model for Clustering with the Integrated Completed Likelihood (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  3. Estimating the Dimension of a Model
  4. Model-Based Clustering, Discriminant Analysis, and Density Estimation
  5. Breast Cancer Diagnosis and Prognosis Via Linear Programming
  6. Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering (Journal of Classification)
  7. Model-based Methods of Classification: Using the mclust Software in Chemometrics
  8. FlexMix: A general framework for finite mixture models and latent class regression in R
  9. FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters
  10. Finite Mixture Models

Their papers