Bryan R. Gibson

Artificial Intelligence · 2008–2010

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

Subfields

Whom Bryan R. Gibson trusts overall

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

  1. Radford M. Neal
  2. Carl E. Rasmussen
  3. Larry A. Wasserman
  4. Arthur P. Dempster

Papers from Bryan R. Gibson's perspective

Ordered by how strongly the researchers Bryan R. Gibson 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. Markov Chain Sampling Methods for Dirichlet Process Mixture Models
  3. A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
  4. Semi-Supervised Learning
  5. All of Nonparametric Statistics (Springer Texts in Statistics)
  6. Introduction to Semi-Supervised Learning
  7. The Infinite Gaussian Mixture Model
  8. The Adaptive Character of Thought
  9. On the genesis of abstract ideas.
  10. On Estimating Regression

Their papers