About: Fast Sensitivity-Based Training of BP-Networks

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Fast Sensitivity-Based Training of BP-Networks Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://link.springer.com/chapter/10.1007%2F978-3-319-11179-7_64#page-1
Description	Sensitivity analysis allows to assess the influence of each neuron or weight on the final network output. This capability is crucial for various feature selection and pruning strategies. In this paper, we present a new approximative sensitivity-based training algorithm yielding robust neural networks with generalization capabilities comparable to its exact analytical counterpart, yet much faster. Sensitivity analysis allows to assess the influence of each neuron or weight on the final network output. This capability is crucial for various feature selection and pruning strategies. In this paper, we present a new approximative sensitivity-based training algorithm yielding robust neural networks with generalization capabilities comparable to its exact analytical counterpart, yet much faster. (en)
Title	Fast Sensitivity-Based Training of BP-Networks Fast Sensitivity-Based Training of BP-Networks (en)
skos:prefLabel	Fast Sensitivity-Based Training of BP-Networks Fast Sensitivity-Based Training of BP-Networks (en)
skos:notation	RIV/00216208:11320/14:10287863!RIV15-GA0-11320___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GAP103/10/0783)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Mrázová, Iveta Reitermanová, Zuzana
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	16514
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/14:10287863
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	generalization; pruning; feature selection; sensitivity analysis; internal representation; back-propagation; neural networks (en)
http://linked.open.../riv/klicoveSlovo	neural networks sensitivity analysis feature selection internal representation generalization pruning back-propagation
http://linked.open...ontrolniKodProRIV	[8BA03D083CD4]
http://linked.open...v/mistoKonaniAkce	Hamburg, Germany
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Artificial Neural Networks and Machine Learning - ICANN 2014
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Structure and its impact for recognition
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Mrázová, Iveta Petříčková, Zuzana
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-09-15 (xsd:date)
issn	0302-9743
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-319-11178-0
http://localhost/t...ganizacniJednotka	11320

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software