- Tytuł:
- Random projection RBF nets for multidimensional density estimation
- Autorzy:
- Skubalska-Rafajłowicz, E.
- Powiązania:
- https://bibliotekanauki.pl/articles/929907.pdf
- Data publikacji:
- 2008
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
radialne funkcje bazowe
estymacja
wielowymiarowa gęstość prawdopodobieństwa
redukcja wymiaru
rzutowanie losowe
detekcja nowości
radial basis functions
multivariate density estimation
dimension reduction
normal random projection
novelty detection - Opis:
- The dimensionality and the amount of data that need to be processed when intensive data streams are observed grow rapidly together with the development of sensors arrays, CCD and CMOS cameras and other devices. The aim of this paper is to propose an approach to dimensionality reduction as a first stage of training RBF nets. As a vehicle for presenting the ideas, the problem of estimating multivariate probability densities is chosen. The linear projection method is briefly surveyed. Using random projections as the first (additional) layer, we are able to reduce the dimensionality of input data. Bounds on the accuracy of RBF nets equipped with a random projection layer in comparison to RBF nets without dimensionality reduction are established. Finally, the results of simulations concerning multidimensional density estimation are briefly reported.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2008, 18, 4; 455-464
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł