FastICA is an efficient and popular algorithm for independent component analysis invented by Aapo Hyvärinen at Helsinki University of Technology. The algorithm is based on a fixed-point iteration scheme maximizing non-Gaussianity as a measure of statistical independence. It can be also derived as an approximative Newton iteration.
| Property | Value |
|---|
| dbpedia-owl:abstract
|
- FastICA is an efficient and popular algorithm for independent component analysis invented by Aapo Hyvärinen at Helsinki University of Technology. The algorithm is based on a fixed-point iteration scheme maximizing non-Gaussianity as a measure of statistical independence. It can be also derived as an approximative Newton iteration.
- FastICA è un popolare algoritmo per l'analisi delle componenti indipendenti, sviluppato da Aapo Hyvärinen presso la Helsinki University of Technology. L'algoritmo è basato su un punto fisso, schema iterativo per massimizzare la non-gaussianità di una misura statistica di indipendenza. L'algoritmo può anche essere derivato dall'iterazione approssimata di Newton.
|
| dbpedia-owl:wikiPageExternalLink
| |
| dcterms:subject
| |
| rdfs:comment
|
- FastICA is an efficient and popular algorithm for independent component analysis invented by Aapo Hyvärinen at Helsinki University of Technology. The algorithm is based on a fixed-point iteration scheme maximizing non-Gaussianity as a measure of statistical independence. It can be also derived as an approximative Newton iteration.
- FastICA è un popolare algoritmo per l'analisi delle componenti indipendenti, sviluppato da Aapo Hyvärinen presso la Helsinki University of Technology. L'algoritmo è basato su un punto fisso, schema iterativo per massimizzare la non-gaussianità di una misura statistica di indipendenza. L'algoritmo può anche essere derivato dall'iterazione approssimata di Newton.
|
| rdfs:label
| |
| owl:sameAs
| |
| foaf:page
| |
| is dbpedia-owl:wikiPageRedirects
of | |
| is owl:sameAs
of | |
| is foaf:primaryTopic
of | |
