-
2
-
-
0042496103
-
Learning Equivalence Classes of Bayesian-Network Structures
-
DOI 10.1162/153244302760200696
-
D. M. Chickering. Learning equivalence classes of Bayesian-network structures. Journal of Machine Learning Research, 2:445-498, 2002a. (Pubitemid 135712569)
-
(2002)
Journal of Machine Learning Research
, vol.2
, Issue.3
, pp. 445-498
-
-
Chickering, D.M.1
-
3
-
-
0042967741
-
Optimal structure identification with greedy search
-
D.M. Chickering. Optimal structure identification with greedy search. Journal ofMachine Learning Research, 3:507-554, 2002b.
-
(2002)
Journal ofMachine Learning Research
, vol.3
, pp. 507-554
-
-
Chickering, D.M.1
-
7
-
-
46649113945
-
Interventions and causal inference
-
F. Eberhardt and R. Scheines. Interventions and causal inference. Philosophy of Science, 74:5: 981-995, 2007.
-
(2007)
Philosophy of Science
, vol.74
, Issue.5
, pp. 981-995
-
-
Eberhardt, F.1
Scheines, R.2
-
10
-
-
0003144387
-
A correspondence principle for simultaneous equation models
-
F. M. Fisher. A correspondence principle for simultaneous equation models. Econometrica, 38(1): pp. 73-92, 1970.
-
(1970)
Econometrica
, vol.38
, Issue.1
, pp. 73-92
-
-
Fisher, F.M.1
-
18
-
-
84870884719
-
Structure learning in causal cyclic networks
-
S. Itani, M. Ohannessian, K. Sachs, G. P. Nolan, and M. A. Dahleh. Structure learning in causal cyclic networks. In JMLRWorkshop & Conference Proceedings, volume 6, pages 165-176, 2008.
-
(2008)
JMLRWorkshop & Conference Proceedings
, vol.6
, pp. 165-176
-
-
Itani, S.1
Ohannessian, M.2
Sachs, K.3
Nolan, G.P.4
Dahleh, M.A.5
-
19
-
-
31844439894
-
Exact bayesian structure discovery in bayesian networks
-
M. Koivisto and K. Sood. Exact Bayesian structure discovery in Bayesian networks. Journal of Machine Learning Research, 5:549-573, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 549-573
-
-
Koivisto, M.1
Sood, K.2
-
21
-
-
59649110273
-
Generating realistic in silico gene networks for performance assessment of reverse engineering methods
-
D.Marbach, T. Schaffter, C.Mattiussi, and D. Floreano. Generating realistic in silico gene networks for performance assessment of reverse engineering methods. Journal of Computational Biology, 16(2):229-239, 2009.
-
(2009)
Journal of Computational Biology
, vol.16
, Issue.2
, pp. 229-239
-
-
Marbach, D.1
Schaffter, T.2
Mattiussi, C.3
Floreano, D.4
-
22
-
-
84870913718
-
-
Technical Report 303 Research Laboratory Of Electronics Massachusetts Institute of Technology
-
S. J. Mason. Feedback theory : further properties of signal flow graphs. Technical Report 303, Research Laboratory of Electronics, Massachusetts Institute of Technology, 1956.
-
(1956)
Feedback Theory : Further Properties Of Signal Flow Graphs.
-
-
Mason, S.J.1
-
26
-
-
0004213845
-
-
Oxford University Press
-
J. Pearl. Causality. Oxford University Press, 2000.
-
(2000)
Causality
-
-
Pearl, J.1
-
27
-
-
77949644952
-
Towards a rigorous assessment of systems biology models: The DREAM 3 challenges
-
R. J. Prill, D. Marbach, J. Saez-Rodriguez, P. K. Sorger, L. G. Alexopoulos, X. Xue, N. D. Clarke, G. Altan-Bonnet, and G. Stolovitzky. Towards a rigorous assessment of systems biology models: The DREAM 3 challenges. PLoS ONE, 5(2):e9202, 2010.
-
(2010)
PLoS ONE
, vol.5
, Issue.2
-
-
Prill, R.J.1
Marbach, D.2
Saez-Rodriguez, J.3
Sorger, P.K.4
Alexopoulos, L.G.5
Xue, X.6
Clarke, N.D.7
Altan-Bonnet, G.8
Stolovitzky, G.9
-
30
-
-
33749326177
-
A linear non-gaussian acyclic model for causal discovery
-
S. Shimizu, P. O. Hoyer, A. Hyvarinen, and A. J. Kerminen. A linear non-Gaussian acyclic model for causal discovery. Journal of Machine Learning Research, 7:2003-2030, 2006. (Pubitemid 44497456)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2003-2030
-
-
Shimizu, S.1
Hoyer, P.O.2
Hyvarinen, A.3
Kerminen, A.4
-
31
-
-
0041310561
-
Minimal completely separating systems
-
J. Spencer. Minimal completely separating systems. Journal of Combinatorial Theory, 8(4):446-447, 1970.
-
(1970)
Journal of Combinatorial Theory
, vol.8
, Issue.4
, pp. 446-447
-
-
Spencer, J.1
-
34
-
-
63849210631
-
Lessons from the DREAM 2 challenges
-
G. Stolovitzky, R. J. Prill, and A. Califano. Lessons from the DREAM 2 challenges. Annals of the New York Academy of Sciences, 1158(1):159-195, 2009.
-
(2009)
Annals of the New York Academy of Sciences
, vol.1158
, Issue.1
, pp. 159-195
-
-
Stolovitzky, G.1
Prill, R.J.2
Califano, A.3
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