-
2
-
-
0003614273
-
-
MIT Press, Cambridge, USA, 2nd edition
-
P. Spirtes, C. Glymour, and R. Scheines. Causation, Prediction, and Search. MIT Press, Cambridge, USA, 2nd edition, 2000.
-
(2000)
Causation, Prediction, and Search
-
-
Spirtes, P.1
Glymour, C.2
Scheines, R.3
-
3
-
-
0042967741
-
Optimal structure identification with greedy search
-
D. M. Chickering. Optimal structure identification with greedy search. Journal of Machine Learning Research, 3:507-554, 2002.
-
(2002)
Journal of Machine Learning Research
, vol.3
, pp. 507-554
-
-
Chickering, D.M.1
-
4
-
-
69949166983
-
Estimating high-dimensional intervention effects from observational data
-
M. H. Maathuis, M. Kalisch, and P. Bühlmann. Estimating high-dimensional intervention effects from observational data. Annals of Statistics, 37:3133-3164, 2009.
-
(2009)
Annals of Statistics
, vol.37
, pp. 3133-3164
-
-
Maathuis, M.H.1
Kalisch, M.2
Bühlmann, P.3
-
5
-
-
84869152656
-
Characterization and greedy learning of interventional Markov equivalence classes of directed acyclic graphs
-
A. Hauser and P. Bühlmann. Characterization and greedy learning of interventional Markov equivalence classes of directed acyclic graphs. Journal of Machine Learning Research, 13:2409-2464, 2012.
-
(2012)
Journal of Machine Learning Research
, vol.13
, pp. 2409-2464
-
-
Hauser, A.1
Bühlmann, P.2
-
6
-
-
84858789485
-
Nonlinear causal discovery with additive noise models
-
P. O. Hoyer, D. Janzing, J. M. Mooij, J. Peters, and B. Schölkopf. Nonlinear causal discovery with additive noise models. In Advances in Neural Information Processing Systems 21 (NIPS), pages 689-696, 2009.
-
(2009)
Advances in Neural Information Processing Systems 21 (NIPS)
, pp. 689-696
-
-
Hoyer, P.O.1
Janzing, D.2
Mooij, J.M.3
Peters, J.4
Schölkopf, B.5
-
7
-
-
79955829373
-
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model
-
S. Shimizu, T. Inazumi, Y. Sogawa, A. Hyvärinen, Y. Kawahara, T. Washio, P. O. Hoyer, and K. Bollen. DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model. Journal of Machine Learning Research, 12:1225-1248, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 1225-1248
-
-
Shimizu, S.1
Inazumi, T.2
Sogawa, Y.3
Hyvärinen, A.4
Kawahara, Y.5
Washio, T.6
Hoyer, P.O.7
Bollen, K.8
-
8
-
-
85162312543
-
On causal discovery with cyclic additive noise models
-
J. M. Mooij, D. Janzing, T. Heskes, and B. Schölkopf. On causal discovery with cyclic additive noise models. In Advances in Neural Information Processing Systems 24 (NIPS), pages 639-647, 2011.
-
(2011)
Advances in Neural Information Processing Systems 24 (NIPS)
, pp. 639-647
-
-
Mooij, J.M.1
Janzing, D.2
Heskes, T.3
Schölkopf, B.4
-
11
-
-
80053222353
-
Discovering cyclic causal models by independent components analysis
-
G. Lacerda, P. Spirtes, J. Ramsey, and P. O. Hoyer. Discovering cyclic causal models by independent components analysis. In Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI), pages 366-374, 2008.
-
(2008)
Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence (UAI)
, pp. 366-374
-
-
Lacerda, G.1
Spirtes, P.2
Ramsey, J.3
Hoyer, P.O.4
-
13
-
-
0003398906
-
-
Cambridge University Press, New York, USA, 2nd edition
-
J. Pearl. Causality: Models, Reasoning, and Inference. Cambridge University Press, New York, USA, 2nd edition, 2009.
-
(2009)
Causality: Models, Reasoning, and Inference
-
-
Pearl, J.1
-
16
-
-
0037685280
-
Expression profiling reveals off-target gene regulation by RNAi
-
A. L. Jackson, S. R. Bartz, J. Schelter, S. V. Kobayashi, J. Burchard, M. Mao, B. Li, G. Cavet, and P. S. Linsley. Expression profiling reveals off-target gene regulation by RNAi. Nature Biotechnology, 21:635-637, 2003.
-
(2003)
Nature Biotechnology
, vol.21
, pp. 635-637
-
-
Jackson, A.L.1
Bartz, S.R.2
Schelter, J.3
Kobayashi, S.V.4
Burchard, J.5
Mao, M.6
Li, B.7
Cavet, G.8
Linsley, P.S.9
-
17
-
-
33748994797
-
Evidence of off-target effects associated with long dsrnas in drosophila melanogaster cell-based assays
-
M. M. Kulkarni, M. Booker, S. J. Silver, A. Friedman, P. Hong, N. Perrimon, and B. Mathey-Prevot. Evidence of off-target effects associated with long dsrnas in drosophila melanogaster cell-based assays. Nature methods, 3:833-838, 2006.
-
(2006)
Nature Methods
, vol.3
, pp. 833-838
-
-
Kulkarni, M.M.1
Booker, M.2
Silver, S.J.3
Friedman, A.4
Hong, P.5
Perrimon, N.6
Mathey-Prevot, B.7
-
20
-
-
22944493013
-
Varieties of causal intervention
-
K. Korb, L. Hope, A. Nicholson, and K. Axnick. Varieties of causal intervention. In Proceedings of the Pacific Rim Conference on AI, pages 322-331, 2004.
-
(2004)
Proceedings of the Pacific Rim Conference on AI
, pp. 322-331
-
-
Korb, K.1
Hope, L.2
Nicholson, A.3
Axnick, K.4
-
22
-
-
17644427718
-
Causal protein-signaling networks derived from multiparameter single-cell data
-
K. Sachs, O. Perez, D. Pe'er, D. Lauffenburger, and G. Nolan. Causal protein-signaling networks derived from multiparameter single-cell data. Science, 308:523-529, 2005.
-
(2005)
Science
, vol.308
, pp. 523-529
-
-
Sachs, K.1
Perez, O.2
Pe'er, D.3
Lauffenburger, D.4
Nolan, G.5
-
23
-
-
26844550383
-
A fast algorithm for joint diagonalization with nonorthogonal transformations and its application to blind source separation
-
A. Ziehe, P. Laskov, G. Nolte, and K.-R. Müller. A fast algorithm for joint diagonalization with nonorthogonal transformations and its application to blind source separation. Journal of Machine Learning Research, 5:801-818, 2004.
-
(2004)
Journal of Machine Learning Research
, vol.5
, pp. 801-818
-
-
Ziehe, A.1
Laskov, P.2
Nolte, G.3
Müller, K.-R.4
-
24
-
-
85027461917
-
Quadratic assignment problems
-
P. M. Pardalos, D.-Z. Du, and R. L. Graham, editors, Springer New York, 2nd edition
-
R. E. Burkard. Quadratic assignment problems. In P. M. Pardalos, D.-Z. Du, and R. L. Graham, editors, Handbook of Combinatorial Optimization, pages 2741-2814. Springer New York, 2nd edition, 2013.
-
(2013)
Handbook of Combinatorial Optimization
, pp. 2741-2814
-
-
Burkard, R.E.1
|