Iftach Nachman

Publication Activity (10 Years)

Years Active: 1999-2013
Publications (10 Years): 0

Top Topics

Latent Variables

Structure Learning

Hyperparameters

Top Venues

Publications

Nir Friedman, Iftach Nachman
Gaussian Process Networks CoRR (2013)
Nir Friedman, Iftach Nachman, Dana Pe'er
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm CoRR (2013)
Iftach Nachman, Gal Elidan, Nir Friedman
"Ideal Parent" Structure Learning for Continuous Variable Networks CoRR (2012)
Iftach Nachman, Aviv Regev
BRNI: Modular analysis of transcriptional regulatory programs. BMC Bioinform. 10 (2009)
Gal Elidan, Iftach Nachman, Nir Friedman
"Ideal Parent" Structure Learning for Continuous Variable Bayesian Networks. J. Mach. Learn. Res. 8 (2007)
Iftach Nachman, Gal Elidan, Nir Friedman
"Ideal Parent" Structure Learning for Continuous Variable Networks. UAI (2004)
Iftach Nachman, Aviv Regev, Nir Friedman
Inferring quantitative models of regulatory networks from expression data. ISMB/ECCB (Supplement of Bioinformatics) (2004)
Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini
Tissue classification with gene expression profiles. RECOMB (2000)
Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er
Using Bayesian Networks to Analyze Expression Data. J. Comput. Biol. 7 (3-4) (2000)
Amir Ben-Dor, Laurakay Bruhn, Nir Friedman, Iftach Nachman, Michèl Schummer, Zohar Yakhini
Tissue Classification with Gene Expression Profiles. J. Comput. Biol. 7 (3-4) (2000)
Nir Friedman, Michal Linial, Iftach Nachman, Dana Pe'er
Using Bayesian networks to analyze expression data. RECOMB (2000)
Nir Friedman, Iftach Nachman
Gaussian Process Networks. UAI (2000)
Nir Friedman, Iftach Nachman, Dana Pe'er
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm. UAI (1999)