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  • 2000

    Gaussian Process Networks

    Friedman, N. & Nachman, I., 2000, Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence. San Francisco, CA, USA: Morgan Kaufmann Publishers, Inc., p. 211–219 (UAI'00).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Tissue classification with gene expression profiles

    Ben-Dor, A., Bruhn, L., Schummer, M., Friedman, N., Yakhini, Z. & Nachman, I., 2000, RECOMB '00: Proceedings of the fourth annual international conference on Computational molecular biology. p. 54-64 11 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    107 Scopus citations
  • Using Bayesian networks to analyze expression data

    Friedman, N., Linial, M., Nachman, I. & Pe'er, D., 2000, RECOMB '00: RECOMB '00: Proceedings of the fourth annual international conference on Computational molecular biology. p. 127-135 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    170 Scopus citations
  • 1999

    Learning Bayesian network structure from massive datasets: The "sparse candidate" algorithm

    Friedman, N., Nachman, I. & Peer, D., 1999, UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS. Laskey, K. & Prade, H. (eds.). SAN FRANCISCO, CA, USA: MORGAN KAUFMANN PUB INC, p. 206-215 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review