Kirk Goldsberry

2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Kirk Goldsberry trusts overall

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

  1. Radford M. Neal
  2. Shunzheng Yu
  3. Daniel D. Lee

Who trusts Kirk Goldsberry overall

  1. Joachim Gudmundsson
  2. Michael Horton

Papers from Kirk Goldsberry's perspective

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

  1. Learning the parts of objects by non-negative matrix factorization
  2. Pattern Recognition and Machine Learning
  3. Machine learning - a probabilistic perspective
  4. Semi-Markov Processes and Reliability
  5. Algorithms for Non-negative Matrix Factorization
  6. Hidden semi-Markov models (Artificial Intelligence)
  7. Statistical Learning Theory
  8. Sampling-Based Approaches to Calculating Marginal Densities
  9. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
  10. Riemannian Manifold Hamiltonian Monte Carlo

Their papers