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Publikováno v:
Acta Anaesthesiologica Scandinavica. May2012, Vol. 56 Issue 5, p539-548. 12p. 1 Diagram, 5 Charts.
Publikováno v:
Leukemia (08876924). Feb2003, Vol. 17 Issue 2, p283. 7p.
Publikováno v:
17. Jahreskongress für Klinische Pharmakologie; 20151001-20151002; Köln; DOC15vklipha25 /20150924/
The European network for health technology assessment (EUnetHTA) was established to create an effective and sustainable network for health technology assessment across Europe. One aim is to harmonize the assessment of new technologies at the European
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be288d0dbc4410f470817d23bf51b503
Publikováno v:
Entscheiden trotz Unsicherheit; 14. Jahrestagung des Deutschen Netzwerks Evidenzbasierte Medizin; 20130315-20130316; Berlin; DOC13ebmD2d /20130311/
Hintergrund und Fragestellung: Alljährlich werden beim österreichischen Bundesministerium für Gesundheit (BMG) zahlreiche neue medizinische Interventionen für die Einzelleistungsrefundierung vorgeschlagen, welche vom Ludwig Boltzmann Institut fü
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbb94ebdf1392bb1e33ce20f60bea34f
Publikováno v:
Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007
We present a novel boosting algorithm, called SoftBoost, designed for sets of bi- nary labeled examples that are not necessarily separable by convex combinations of base hypotheses. Our algorithm achieves robustness by capping the distribu- tions on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::59923bf706ef0f505600a7d114cba477
https://hdl.handle.net/21.11116/0000-000C-9E54-4
https://hdl.handle.net/21.11116/0000-000C-9E54-4
Autor:
Buonamici, S., Yoshimi, A., Thomas, M., Seiler, M., Chan, B., Csibi, A., Fekkes, P., Klimek, V., Kumar, P., Lee, S.C.W., Padron, E., Pazolli, E., Goldberg, J., Sahmoud, T., Taylor, J., Warmuth, M., Yu, L., Zhu, P., Abdel-Wahab, O., Smith, P.
Publikováno v:
In Leukemia Research April 2017 55 Supplement 1:S11-S11
Publikováno v:
Advances in Neural Information Processing Systems 17
We address the problem of learning a symmetric positive definite matrix. The central issue is to design parameter updates that preserve positive definiteness. Our updates are motivated with the von Neumann divergence. Rather than treating the most ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1874::a7d87acb34ce9089dbbc65936af6374e
https://hdl.handle.net/11858/00-001M-0000-0013-D527-4
https://hdl.handle.net/11858/00-001M-0000-0013-D527-4