-
4
-
-
85162060108
-
A kernel statistical test of independence
-
Cambridge, MA: MIT Press
-
Gretton, A., Fukumizu, K., Teo, C., Song, L., Schölkopf, B., & Smola, A. (2008). A kernel statistical test of independence. NIPS 20 (pp. 585-592). Cambridge, MA: MIT Press.
-
(2008)
NIPS
, vol.20
, pp. 585-592
-
-
Gretton, A.1
Fukumizu, K.2
Teo, C.3
Song, L.4
Schölkopf, B.5
Smola, A.6
-
5
-
-
84858789485
-
Nonlinear causal discovery with additive noise models
-
Vancouver, B.C., Canada
-
Hoyer, P., Janzing, D., Mooji, J., Peters, J., & Schölkopf, B. (2009). Nonlinear causal discovery with additive noise models. NIPS 21. Vancouver, B.C., Canada.
-
(2009)
NIPS
, vol.21
-
-
Hoyer, P.1
Janzing, D.2
Mooji, J.3
Peters, J.4
Schölkopf, B.5
-
6
-
-
0003905759
-
-
John Wiley & Sons, Inc
-
Hyvärinen, A., Karhunen, J., & Oja, E. (2001). Independent component analysis. John Wiley & Sons, Inc.
-
(2001)
Independent Component Analysis
-
-
Hyvärinen, A.1
Karhunen, J.2
Oja, E.3
-
7
-
-
0011124306
-
Factorizing multivariate function classes
-
Cambridge, MA: MIT Press
-
Lin, J. (1998). Factorizing multivariate function classes. NIPS 10 (pp. 563-569). Cambridge, MA: MIT Press.
-
(1998)
NIPS
, vol.10
, pp. 563-569
-
-
Lin, J.1
-
12
-
-
33749326177
-
A linear non-gaussian acyclic model for causal discovery
-
Shimizu, S., Hoyer, P., Hyvärinen, A., & Kerminen, A. (2006). A linear non-Gaussian acyclic model for causal discovery. Journal of Machine Learning Research, 7, 2003-2030. (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
-
13
-
-
0003614273
-
-
Cambridge, MA: MIT Press 2nd edition
-
Spirtes, P., Glymour, C., & Scheines, R. (2001). Causation, prediction, and search. Cambridge, MA: MIT Press. 2nd edition.
-
(2001)
Causation, Prediction, and Search
-
-
Spirtes, P.1
Glymour, C.2
Scheines, R.3
-
14
-
-
40649092250
-
Causal reasoning by evaluating the complexity of conditional densities with kernel methods
-
Sun, X., Janzing, D., & Schölkopf, B. (2008). Causal reasoning by evaluating the complexity of conditional densities with kernel methods. Neurocomputing, 71, 1248-1256.
-
(2008)
Neurocomputing
, vol.71
, pp. 1248-1256
-
-
Sun, X.1
Janzing, D.2
Schölkopf, B.3
-
16
-
-
79955847294
-
Distinguishing causes from effects using nonlinear acyclic causal models
-
Presented at, Workshop on Causality
-
Boston, MA: Morgan Kaufmann. Zhang, K., & Hyvärinen, A. (2008). Distinguishing causes from effects using nonlinear acyclic causal models. Presented at NIPS 2008 Workshop on Causality. URL http://www.cs.helsinki.fi/u/ ahyvarin/papers/Zhang09NIPSworkshop.pdf.
-
(2008)
NIPS 2008
-
-
Zhang, K.1
Hyvärinen, A.2
|