Maya Machunsky

2008

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

Whom Maya Machunsky trusts overall

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

  1. Geoffrey J. McLachlan
  2. David Peel

Papers from Maya Machunsky's perspective

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

  1. Estimating the Dimension of a Model
  2. Finite Mixture Models (Wiley Series in Probability and Statistics)
  3. Information Theory and an Extension of the Maximum Likelihood Principle
  4. Mixtures of Factor Analyzers
  5. Mixture models : inference and applications to clustering
  6. Bayes factors
  7. Tissue Classification with Gene Expression Profiles (Annual International Conference on Research in Computational Molecular Biology)
  8. The EM algorithm and extensions
  9. Tumor classification by partial least squares using microarray gene expression data (Bioinform.)
  10. Coupled two-way clustering analysis of gene microarray data. (Proceedings of the National Academy of Sciences of the United States of America)

Their papers