Zobrazeno 1 - 10
of 208
pro vyhledávání: '"Sæbø Solve"'
Autor:
Sæbø, Solve, Brovold, Helge
What constitutes human creativity, and is it possible for computers to exhibit genuine creativity? We argue that achieving human-level intelligence in computers, or so-called Artificial General Intelligence, necessitates attaining also human-level cr
Externí odkaz:
http://arxiv.org/abs/2403.06996
Autor:
Frigessi Arnoldo, Sæbø Solve
Publikováno v:
Genetics Selection Evolution, Vol 36, Iss 5, Pp 527-542 (2004)
Abstract A nationwide health card recording system for dairy cattle was introduced in Norway in 1975 (the Norwegian Cattle Health Services). The data base holds information on mastitis occurrences on an individual cow basis. A reduction in mastitis f
Externí odkaz:
https://doaj.org/article/d39d375df8ed4c93b3ecabf17e03c8db
Publikováno v:
BMC Bioinformatics, Vol 13, Iss 1, p 97 (2012)
Abstract Background Gene finding is a complicated procedure that encapsulates algorithms for coding sequence modeling, identification of promoter regions, issues concerning overlapping genes and more. In the present study we focus on coding sequence
Externí odkaz:
https://doaj.org/article/dcad083c9b0a4d61aeaac0ecf7a8258f
Autor:
Overgaard Hans J, Sæbø Solve, Reddy Michael R, Reddy Vamsi P, Abaga Simon, Matias Abrahan, Slotman Michel A
Publikováno v:
Malaria Journal, Vol 11, Iss 1, p 56 (2012)
Abstract Background The human biting rate (HBR), an important parameter for assessing malaria transmission and evaluating vector control interventions, is commonly estimated by human landing collections (HLC). Although intense efforts have been made
Externí odkaz:
https://doaj.org/article/628190a89df548b0a02e4aa954d4559e
Publikováno v:
Algorithms for Molecular Biology, Vol 6, Iss 1, p 27 (2011)
Abstract Background In genomics, a commonly encountered problem is to extract a subset of variables out of a large set of explanatory variables associated with one or several quantitative or qualitative response variables. An example is to identify a
Externí odkaz:
https://doaj.org/article/b7ece979844d47a1a77b15c0c51c54e3
Publikováno v:
BMC Bioinformatics, Vol 12, Iss 1, p 318 (2011)
Abstract Background Multivariate approaches are important due to their versatility and applications in many fields as it provides decisive advantages over univariate analysis in many ways. Genome wide association studies are rapidly emerging, but app
Externí odkaz:
https://doaj.org/article/5aae3cd6f936485fb7d31c87f30deb70
Prediction performance does not always reflect the estimation behaviour of a method. High error in estimation may necessarily not result in high prediction error, but can lead to an unreliable prediction if test data lie in a slightly different subsp
Externí odkaz:
http://arxiv.org/abs/1907.10524
While data science is battling to extract information from the enormous explosion of data, many estimators and algorithms are being developed for better prediction. Researchers and data scientists often introduce new methods and evaluate them based o
Externí odkaz:
http://arxiv.org/abs/1903.08426
Publikováno v:
In Chemometrics and Intelligent Laboratory Systems 15 October 2020 205
Autor:
Mosleth, Ellen Færgestad, McLeod, Anette, Rud, Ida, Axelsson, Lars, Solberg, Lars Erik, Moen, Birgitte, Gilman, Krista Marie Erickson, Færgestad, Eline Mosleth, Lysenko, Artem, Rawlings, Chris, Dankel, Simon N, Mellgren, Gunnar, Barajas-Olmos, Francisco Martin, Orozco, Lorena Sofia, Sæbø, Solve, Gidskehaug, Lars, Janbu, Astrid Oust, Kohler, Achim, Martens, Harald Aagaard, Liland, Kristian Hovde
Externí odkaz:
https://hdl.handle.net/11250/2729177