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Search: subject:"Statistical Machine Learning"
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Künstliche Intelligenz
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Statistical Machine Learning
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Statistical machine learning
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ML in SCLM
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Christmann, Andreas
4
Barde, Sylvian
2
Marin-Galiano, Marcos
2
Erdebilli, Babek
1
Hoog, Sander van der
1
van der Hoog, Sander
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Özşahin, Selcen Gülsüm Aslan
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund
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EURO journal on transportation and logistics
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Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
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Statistical-machine-learning
-based intelligent relaxation for set-covering location models to identify locations of charging stations for electric vehicles
Özşahin, Selcen Gülsüm Aslan
;
Erdebilli, Babek
- In:
EURO journal on transportation and logistics
12
(
2023
),
pp. 1-10
-covering location models with
statistical
machine
learning
and developed it for the problem settings of identifying electric …-vehicle-charging station locations.
Statistical
machine
learning
was employed in the proposed model to more precisely identify and determine …
Persistent link: https://www.econbiz.de/10014518072
Saved in:
2
An empirical validation protocol for large-scale agent-based models
Barde, Sylvian
;
van der Hoog, Sander
-
2017
sample set. In our opinion, this is a strong indication that the method we propose could provide a viable
statistical
machine
…
learning
technique for the empirical validation of (large-scale) ABMs. …
Persistent link: https://www.econbiz.de/10011943082
Saved in:
3
An empirical validation protocol for large-scale agent-based models
Barde, Sylvian
;
Hoog, Sander van der
-
2017
sample set. In our opinion, this is a strong indication that the method we propose could provide a viable
statistical
machine
…
learning
technique for the empirical validation of (large-scale) ABMs. …
Persistent link: https://www.econbiz.de/10011689008
Saved in:
4
Insurance: an R-Program to Model Insurance Data
Marin-Galiano, Marcos
;
Christmann, Andreas
-
2004
[epsilon]-support vector regression from modern
statistical
machine
learning
. …
Persistent link: https://www.econbiz.de/10010296633
Saved in:
5
Regression depth and support vector machine
Christmann, Andreas
-
2004
binary regression. Vapnik?s convex risk minimization principle [Vap98] has a dominating role in
statistical
machine
learning
…
Persistent link: https://www.econbiz.de/10010296638
Saved in:
6
Insurance: an R-Program to Model Insurance Data
Marin-Galiano, Marcos
;
Christmann, Andreas
-
Institut für Wirtschafts- und Sozialstatistik, …
-
2004
[epsilon]-support vector regression from modern
statistical
machine
learning
. …
Persistent link: https://www.econbiz.de/10009216864
Saved in:
7
Regression depth and support vector machine
Christmann, Andreas
(
contributor
)
-
2004
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002364123
Saved in:
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