Kismat Sood

Probabilistic & Bayesian Methods · 2004

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kismat Sood trusts overall

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

  1. Wray L. Buntine
  2. David E. Heckerman
  3. David Madigan
  4. Nir Friedman
  5. Robert Castelo
  6. Dan Geiger
  7. David Maxwell Chickering
  8. Jeremy York
  9. Daphne Koller
  10. Tomas Kocka

Who trusts Kismat Sood overall

  1. Daniel Eaton
  2. Mikko Koivisto
  3. Jack Kuipers
  4. James Cussens
  5. Kevin P. Murphy
  6. Peter van Beek
  7. Tomi Silander
  8. Antti Hyttinen
  9. Joris M. Mooij
  10. Rónán Daly

Papers from Kismat Sood's perspective

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

  1. Bayesian Graphical Models for Discrete Data
  2. Learning Bayesian networks: The combination of knowledge and statistical data
  3. Approximating discrete probability distributions with dependence trees
  4. Theory Refinement on Bayesian Networks
  5. Learning Bayesian Networks: Search Methods and Experimental Results
  6. UCI Repository of machine learning databases
  7. A Bayesian Approach to Causal Discovery
  8. Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
  9. Sampling-Based Approaches to Calculating Marginal Densities
  10. The generalized distributive law (IEEE Transactions on Information Theory)

Their papers