- Tytuł:
- Some methods of constructing kernels in statistical learning
- Autorzy:
-
Górecki, Tomasz
Łuczak, Maciej - Powiązania:
- https://bibliotekanauki.pl/articles/729927.pdf
- Data publikacji:
- 2010
- Wydawca:
- Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
- Tematy:
-
positive definite kernel
dot product kernel
statistical kernel
SVM
kPCA - Opis:
- This paper is a collection of numerous methods and results concerning a design of kernel functions. It gives a short overview of methods of building kernels in metric spaces, especially $R^n$ and $S^n$. However we also present a new theory. Introducing kernels was motivated by searching for non-linear patterns by using linear functions in a feature space created using a non-linear feature map.
- Źródło:
-
Discussiones Mathematicae Probability and Statistics; 2010, 30, 2; 179-201
1509-9423 - Pojawia się w:
- Discussiones Mathematicae Probability and Statistics
- Dostawca treści:
- Biblioteka Nauki
Artykuł