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dc.contributor.authorThongchai Dumrongpokaphanen_US
dc.contributor.authorVladik Kreinovichen_US
dc.date.accessioned2018-09-05T04:26:21Z-
dc.date.available2018-09-05T04:26:21Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85038867695en_US
dc.identifier.other10.1007/978-3-319-73150-6_6en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038867695&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/58567-
dc.description.abstract© 2018, Springer International Publishing AG. In this paper, we show that, similarly to the fact that distributing the investment between several independent financial instruments decreases the investment risk, using a combination of several medicines can decrease the medicines’ side effects. Moreover, the formulas for optimal combinations of medicine are the same as the formulas for the optimal portfolio, formulas first derived by the Nobel-prize winning economist H. M. Markowitz. A similar application to machine learning explains a recent success of a modified neural network in which the input neurons are also directly connected to the output ones.en_US
dc.subjectComputer Scienceen_US
dc.titleMarkowitz portfolio theory helps decrease medicines’ side effect and speed up machine learningen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume760en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsUniversity of Texas at El Pasoen_US
Appears in Collections:CMUL: Journal Articles

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