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Support Vector Machine
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Geliefert zwischen Do., 13.11.2025 und Fr., 14.11.2025
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
- Genre Technik
- Editor Lambert M. Surhone, Miriam T. Timpledon, Susan F. Marseken
- Anzahl Seiten 80
- Herausgeber Betascript Publishing
- EAN 9786130501990
- Format Fachbuch
- Titel Support Vector Machine
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