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Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients

Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients

M. Ribeiro-Dantas
Honghao Li
Vincent Cabeli
Louise Dupuis
Franck Simon
Liza Hettal
A. Hamy
Hervé Isambert
    CML
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Papers citing "Learning interpretable causal networks from very large datasets, application to 400,000 medical records of breast cancer patients"

4 / 4 papers shown
Title
Causal Discovery with Continuous Additive Noise Models
Causal Discovery with Continuous Additive Noise Models
Jonas Peters
Joris Mooij
Dominik Janzing
Bernhard Schölkopf
CML
100
563
0
26 Sep 2013
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data
David Heckerman
D. Geiger
D. M. Chickering
TPM
102
3,979
0
27 Feb 2013
Order-independent constraint-based causal structure learning
Order-independent constraint-based causal structure learning
Diego Colombo
Marloes H. Maathuis
CML
112
604
0
14 Nov 2012
Learning Bayesian Networks with the bnlearn R Package
Learning Bayesian Networks with the bnlearn R Package
M. Scutari
BDL
155
1,729
0
26 Aug 2009