Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Francesco Bagattini"'
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-20 (2019)
Abstract Background Adverse drug events (ADEs) as well as other preventable adverse events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in the United States alone. Therefore, it is of paramount importance to red
Externí odkaz:
https://doaj.org/article/87f83c099d86420688d7deca52f976e3
Publikováno v:
Optimization Methods and Software. 34:1099-1122
In this paper we show that for some problem classes it is possible to design Global Optimization algorithms which mimic existing procedures obtaining the same quality at a fraction of their computa...
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-20 (2019)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Adverse drug events (ADEs) as well as other preventable adverse events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in the United States alone. Therefore, it is of paramount importance to reduce the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::fcf0c76e7552f8127a74109d251a7a2e
http://hdl.handle.net/2158/1147677
http://hdl.handle.net/2158/1147677
Publikováno v:
IEEE transactions on neural networks and learning systems. 29(9)
The process of manually labeling instances, essential to a supervised classifier, can be expensive and time-consuming. In such a scenario the semisupervised approach, which makes the use of unlabeled patterns when building the decision function, is a
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319729251
MOD
MOD
Many optimization techniques have been developed in the last decade to include the unlabeled patterns in the Support Vector Machines formulation. Two broad strategies are followed: continuous and combinatorial. The approach presented in this paper be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b2aaf024054199634bf087976db67ea
https://doi.org/10.1007/978-3-319-72926-8_21
https://doi.org/10.1007/978-3-319-72926-8_21
Publikováno v:
The Journal of Chemical Physics. 148:144102
In this paper, we propose a revised global optimization method and apply it to large scale cluster conformation problems. In the 1990s, the so-called clustering methods were considered among the most efficient general purpose global optimization tech