Search results for "Shohei Shimizu"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara	Discovering causal structures in binary exclusive-or skew acyclic models	CoRR	2012	DBLP BibTeX RDF
1	Shohei Shimizu	Joint estimation of linear non-Gaussian acyclic models.	Neurocomputing	2012	DBLP DOI BibTeX RDF
1	Shohei Shimizu, Takanori Inazumi, Yasuhiro Sogawa, Aapo Hyvärinen, Yoshinobu Kawahara, Takashi Washio, Patrik O. Hoyer, Kenneth Bollen	DirectLiNGAM: A Direct Method for Learning a Linear Non-Gaussian Structural Equation Model.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Yasuhiro Sogawa, Shohei Shimizu, Teppei Shimamura, Aapo Hyvärinen, Takashi Washio, Seiya Imoto	Estimating exogenous variables in data with more variables than observations.	Neural Networks	2011	DBLP DOI BibTeX RDF
1	Yoshinobu Kawahara, Shohei Shimizu, Takashi Washio	Analyzing relationships among ARMA processes based on non-Gaussianity of external influences.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Takanori Inazumi, Takashi Washio, Shohei Shimizu, Joe Suzuki, Akihiro Yamamoto, Yoshinobu Kawahara	Discovering causal structures in binary exclusive-or skew acyclic models.	UAI	2011	DBLP BibTeX RDF
1	Aapo Hyvärinen, Kun Zhang, Shohei Shimizu, Patrik O. Hoyer	Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Yoshinobu Kawahara, Kenneth Bollen, Shohei Shimizu, Takashi Washio	GroupLiNGAM: Linear non-Gaussian acyclic models for sets of variables	CoRR	2010	DBLP BibTeX RDF
1	Takanori Inazumi, Shohei Shimizu, Takashi Washio	Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models.	LVA/ICA	2010	DBLP DOI BibTeX RDF
1	Yusuke Komatsu, Shohei Shimizu, Hidetoshi Shimodaira	Assessing Statistical Reliability of LiNGAM via Multiscale Bootstrap.	ICANN	2010	DBLP DOI BibTeX RDF
1	Yasuhiro Sogawa, Shohei Shimizu, Aapo Hyvärinen, Takashi Washio, Teppei Shimamura, Seiya Imoto	Discovery of Exogenous Variables in Data with More Variables Than Observations.	ICANN	2010	DBLP DOI BibTeX RDF
1	Yasuhiro Sogawa, Shohei Shimizu, Yoshinobu Kawahara, Takashi Washio	An experimental comparison of linear non-Gaussian causal discovery methods and their variants.	IJCNN	2010	DBLP DOI BibTeX RDF
1	Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen	Estimation of linear non-Gaussian acyclic models for latent factors.	Neurocomputing	2009	DBLP DOI BibTeX RDF
1	Shohei Shimizu, Aapo Hyvärinen, Yoshinobu Kawahara	A direct method for estimating a causal ordering in a linear non-Gaussian acyclic model.	UAI	2009	DBLP BibTeX RDF
1	Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen, Markus Palviainen	Estimation of causal effects using linear non-Gaussian causal models with hidden variables.	Int. J. Approx. Reasoning	2008	DBLP DOI BibTeX RDF
1	Aapo Hyvärinen, Shohei Shimizu, Patrik O. Hoyer	Causal modelling combining instantaneous and lagged effects: an identifiable model based on non-Gaussianity.	ICML	2008	DBLP DOI BibTeX RDF
1	Patrik O. Hoyer, Aapo Hyvärinen, Richard Scheines, Peter Spirtes, Joseph Ramsey, Gustavo Lacerda, Shohei Shimizu	Causal discovery of linear acyclic models with arbitrary distributions.	UAI	2008	DBLP BibTeX RDF
1	Shohei Shimizu, Aapo Hyvärinen	Discovery of Linear Non-Gaussian Acyclic Models in the Presence of Latent Classes.	ICONIP	2007	DBLP DOI BibTeX RDF
1	Shohei Shimizu, Aapo Hyvärinen, Patrik O. Hoyer, Yutaka Kano	Finding a causal ordering via independent component analysis.	Computational Statistics & Data Analysis	2006	DBLP DOI BibTeX RDF
1	Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen, Antti J. Kerminen	A Linear Non-Gaussian Acyclic Model for Causal Discovery.	Journal of Machine Learning Research	2006	DBLP BibTeX RDF
1	Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen	Estimation of linear, non-gaussian causal models in the presence of confounding latent variables	CoRR	2006	DBLP BibTeX RDF
1	Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer, Antti J. Kerminen	Testing Significance of Mixing and Demixing Coefficients in ICA.	ICA	2006	DBLP DOI BibTeX RDF
1	Patrik O. Hoyer, Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Antti J. Kerminen	New Permutation Algorithms for Causal Discovery Using ICA.	ICA	2006	DBLP DOI BibTeX RDF
1	Aapo Hyvärinen, Shohei Shimizu	A Quasi-stochastic Gradient Algorithm for Variance-Dependent Component Analysis.	ICANN	2006	DBLP DOI BibTeX RDF
1	Patrik O. Hoyer, Shohei Shimizu, Antti J. Kerminen	Estimation of linear, non-gaussian causal models in the presence of confounding latent variables.	Probabilistic Graphical Models	2006	DBLP BibTeX RDF
1	Shohei Shimizu, Aapo Hyvärinen, Yutaka Kano, Patrik O. Hoyer	Discovery of Non-gaussian Linear Causal Models using ICA.	UAI	2005	DBLP BibTeX RDF

Publications of "Shohei Shimizu" ( http://dblp.L3S.de/Authors/Shohei_Shimizu )