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- 1.0506956 - ÚI 2020 HR eng M - Monography Chapter
Hlaváčková-Schindler, Kateřina
The Assumption of Non-Gaussianity in Natural and Social Sciences and Its Influence on Detection of Causal Relationships.
Theoretical and Methodological Approaches to Social Sciences and Knowledge Management. Rijeka: InTechOpen, 2012 - (Lopez-Varela, A.), s. 77-94. ISBN 978-953-51-0687-6
https://www.intechopen.com/books/theoretical-and-methodological-approaches-to-social-sciences-and-knowledge-management/the-assumption-of-non-gaussianity-in-natural-and-social-sciences-and-its-influence-on-detection-of-c
Permanent Link: http://hdl.handle.net/11104/0298074 - 2.0504992 - ÚI 2020 CH eng M - Monography Chapter
Hlaváčková-Schindler, Kateřina - Pereverzyev, S.
Lasso Granger causal models: Some strategies and their efficiency for gene expression regulatory networks.
Decision Making: Uncertainty, Imperfection, Deliberation and Scalability. Cham: Springer, 2014 - (Guy, T.; Kárný, M.; Wolpert, D.), s. 91-117. Studies in Computational Intelligence, 538. ISBN 978-3-319-15143-4
Permanent Link: http://hdl.handle.net/11104/0296521 - 3.0403244 - UIVT-O 980019 RIV GB eng M - Monography Chapter
Hlaváčková, Kateřina
Rates of Approximation in Feedforward Network Depend on the Type of the Computational Unit. Chapter 14.
Dealing with Complexity: a Neural Networks Approach. London: Springer, 1998 - (Kárný, M.; Warwick, K.; Kůrková, V.), s. 205-219. Perspectives in Neural Computing. ISBN 3-540-76160-8
R&D Projects: GA ČR GA201/96/0917
Subject RIV: BA - General Mathematics
Permanent Link: http://hdl.handle.net/11104/0123564