Cargando…
Interval probabilistic neural network
Automated classification systems have allowed for the rapid development of exploratory data analysis. Such systems increase the independence of human intervention in obtaining the analysis results, especially when inaccurate information is under consideration. The aim of this paper is to present a n...
Autores principales: | Kowalski, Piotr A., Kulczycki, Piotr |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5362677/ https://www.ncbi.nlm.nih.gov/pubmed/28386161 http://dx.doi.org/10.1007/s00521-015-2109-3 |
Ejemplares similares
-
Gaussian synapses for probabilistic neural networks
por: Sebastian, Amritanand, et al.
Publicado: (2019) -
Efficient probabilistic inference in generic neural networks trained with non-probabilistic feedback
por: Orhan, A. Emin, et al.
Publicado: (2017) -
Probabilistic Models with Deep Neural Networks
por: Masegosa, Andrés R., et al.
Publicado: (2021) -
Deep Neural Network Probabilistic Decoder for Stabilizer Codes
por: Krastanov, Stefan, et al.
Publicado: (2017) -
Probabilistic logics and probabilistic networks
por: Haenni, Rolf, et al.
Publicado: (2014)