Wir verwenden Cookies und Analyse-Tools, um die Nutzerfreundlichkeit der Internet-Seite zu verbessern und für Marketingzwecke. Wenn Sie fortfahren, diese Seite zu verwenden, nehmen wir an, dass Sie damit einverstanden sind. Zur Datenschutzerklärung.
Support Vector Machine
CHF 43.30
Auf Lager
SKU
PEK9IJBVV04
1 Verfügbar 
Geliefert zwischen Mi., 21.01.2026 und Do., 22.01.2026
Details
High Quality Content by WIKIPEDIA articles! Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. In simple words, given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that predicts whether a new example falls into one category or the other. Intuitively, an SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786130501990
- Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
- Genre Technik
- Anzahl Seiten 80
- EAN 9786130501990
- Format Fachbuch
- Titel Support Vector Machine
- Herausgeber Betascript Publishing
Bewertungen
Schreiben Sie eine Bewertung
