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Improved Classification Rates for Localized Algorithms under Margin Conditions
Engelsk
Bogcover for Improved Classification Rates for Localized Algorithms under Margin Conditions af Ingrid Karin Blaschzyk, 9783658295905
Specifikationer
Sprog:
Engelsk
Sider:
126
ISBN-13:
9783658295905
Indbinding:
Paperback
ISBN-10:
3658295902
Udg. Dato:
19 mar 2020
Størrelse i cm:
21,0 x 14,8
Oplagsdato:
19 mar 2020
Forfatter(e):

Improved Classification Rates for Localized Algorithms under Margin Conditions

Engelsk
Paperback 2020
Format:

Bog beskrivelse
Support vector machines (SVMs) are one of the most successful algorithms on small and medium-sized data sets, but on large-scale data sets their training and predictions become computationally infeasible. The author considers a spatially defined data chunking method for large-scale learning problems, leading to so-called localized SVMs, and implements an in-depth mathematical analysis with theoretical guarantees, which in particular include classification rates. The statistical analysis relies on a new and simple partitioning based technique and takes well-known margin conditions into account that describe the behavior of the data-generating distribution. It turns out that the rates outperform known rates of several other learning algorithms under suitable sets of assumptions. From a practical point of view, the author shows that a common training and validation procedure achieves the theoretical rates adaptively, that is, without knowing the margin parameters in advance.
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Specifikationer
Sprog:
Engelsk
Sider:
126
ISBN-13:
9783658295905
Indbinding:
Paperback
ISBN-10:
3658295902
Udg. Dato:
19 mar 2020
Størrelse i cm:
21,0 x 14,8
Oplagsdato:
19 mar 2020
Forfatter(e):
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