Zobrazeno 1 - 10
of 1 932
pro vyhledávání: '"Van Huffel S"'
Publikováno v:
Neural Computation, Vol. 21, No. 5, Pages 1415-1433, May 2009
Newton's method for solving the matrix equation $F(X)\equiv AX-XX^TAX=0$ runs up against the fact that its zeros are not isolated. This is due to a symmetry of $F$ by the action of the orthogonal group. We show how differential-geometric techniques c
Externí odkaz:
http://arxiv.org/abs/0804.0989
Autor:
Vandenberk, B., Robyns, T., Goovaerts, G., Van Soest, S., Floré, V., Garweg, C., Van Huffel, S., Ector, J., Willems, R.
Publikováno v:
In International Journal of Cardiology 15 September 2017 243:223-228
Autor:
Ansari, A.H., Cherian, P.J., Dereymaeker, A., Matic, V., Jansen, K., De Wispelaere, L., Dielman, C., Vervisch, J., Swarte, R.M., Govaert, P., Naulaers, G., De Vos, M., Van Huffel, S.
Publikováno v:
In Clinical Neurophysiology September 2016 127(9):3014-3024
Autor:
Dereymaeker, A., Koolen, N., Jansen, K., Vervisch, J., Ortibus, E., De Vos, M., Van Huffel, S., Naulaers, G.
Publikováno v:
In Clinical Neurophysiology August 2016 127(8):2760-2765
Supplemental material, sj-pdf-1-smm-10.1177_0962280216668555 for Does ignoring clustering in multicenter data influence the performance of prediction models? A simulation study by L Wynants, Y Vergouwe, S Van Huffel, D Timmerman and B Van Calster in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::345cbed6bcf2c43a2b2fd2ce66a38fd5
Autor:
Wynants, L., Bouwmeester, W., Moons, K.G.M., Moerbeek, M., Timmerman, D., Van Huffel, S., Van Calster, B., Vergouwe, Y.
Publikováno v:
In Journal of Clinical Epidemiology December 2015 68(12):1406-1414
Autor:
Braeken, M.A.K.A., Jones, A., Otte, R.A., Widjaja, D., Van Huffel, S., Monsieur, G.J.Y.J., van Oirschot, C.M., Van den Bergh, B.R.H.
Publikováno v:
In Biological Psychology October 2015 111:83-89
Publikováno v:
In Journal of Biomedical Informatics April 2015 54:283-293
Autor:
Chatzichristos, C. Kofidis, E. Van Paesschen, W. De Lathauwer, L. Theodoridis, S. Van Huffel, S.
Data fusion refers to the joint analysis of multiple datasets that provide different (e.g., complementary) views of the same task. In general, it can extract more information than separate analyses can. Jointly analyzing electroencephalography (EEG)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::5a193d2dca9ea6a826f07061106e3337
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:2984716
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:2984716
Publikováno v:
In Medical Engineering and Physics 2012 34(1):108-117