Camille Brunet

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Camille Brunet trusts overall

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

  1. Peter J. Bickel
  2. Adrian E. Raftery
  3. Noureddine El Karoui
  4. P. Deb
  5. R. Fisher
  6. Geoffrey J. McLachlan
  7. Paul David McNicholas
  8. Donald B. Rubin
  9. Chris Fraley
  10. Elizaveta Levina

Who trusts Camille Brunet overall

  1. Alexander Rainer Tassilo Gepperth
  2. Benedikt Pfülb

Papers from Camille Brunet's perspective

Ordered by how strongly the researchers Camille Brunet 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. Model-Based Clustering, Discriminant Analysis, and Density Estimation
  3. Finite Mixture Models
  4. Mixture models : inference and applications to clustering
  5. Variable Selection for Model-Based Clustering
  6. Estimating the Dimension of a Model
  7. The EM algorithm and extensions
  8. Some methods for classification and analysis of multivariate observations
  9. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
  10. Operator norm consistent estimation of large-dimensional sparse covariance matrices

Their papers