High-Dimensional Feature Space
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A High-Dimensional Feature Space is a feature space that ...
References
1995
- (Cortes & Vapnik, 1995) ⇒ Corinna Cortes, and Vladimir N. Vapnik. (1995). “Support Vector Networks.” In: Machine Learning, 20(3).
- QUOTE: The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very high-dimension feature space. …
… vector network of an unknown pattern is conceptually done by first transforming the pattern into some high-dimensional feature space.
- QUOTE: The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements the following idea: input vectors are non-linearly mapped to a very high-dimension feature space. …