About: FAST SUPERVISED FEATURE EXTRACTION FROM STRUCTURED REPRESENTATION OF TEXT DATA

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

About: FAST SUPERVISED FEATURE EXTRACTION FROM STRUCTURED REPRESENTATION OF TEXT DATA 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
Description	Classification of text documents is challenging problem not only when browsing the web. Structure representation of documents is necessary to build up appropriate classifier. Unfortunately the document-term matrices are usually so sparse and of high dimensionality due large number of terms representing usually smaller number of the documents. Thus the suitable dimensionality reduction technique is required to be able to develop the classifier. The article deals with supervised extraction method that results to small number of sensitive features derived from the initial document-term matrix. The extraction process simulated by neural network is remarkably fast and utilizes all available supervised information from training data. Classification of text documents is challenging problem not only when browsing the web. Structure representation of documents is necessary to build up appropriate classifier. Unfortunately the document-term matrices are usually so sparse and of high dimensionality due large number of terms representing usually smaller number of the documents. Thus the suitable dimensionality reduction technique is required to be able to develop the classifier. The article deals with supervised extraction method that results to small number of sensitive features derived from the initial document-term matrix. The extraction process simulated by neural network is remarkably fast and utilizes all available supervised information from training data. (en)
Title	FAST SUPERVISED FEATURE EXTRACTION FROM STRUCTURED REPRESENTATION OF TEXT DATA FAST SUPERVISED FEATURE EXTRACTION FROM STRUCTURED REPRESENTATION OF TEXT DATA (en)
skos:prefLabel	FAST SUPERVISED FEATURE EXTRACTION FROM STRUCTURED REPRESENTATION OF TEXT DATA FAST SUPERVISED FEATURE EXTRACTION FROM STRUCTURED REPRESENTATION OF TEXT DATA (en)
skos:notation	RIV/68407700:21240/10:00171783!RIV11-MSM-21240___
http://linked.open...avai/riv/aktivita	S Z
http://linked.open...avai/riv/aktivity	S, Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Skrbek, Miroslav
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	České vysoké učení technické v Praze / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	258838
http://linked.open...ai/riv/idVysledku	RIV/68407700:21240/10:00171783
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	document classification; term; neural network (en)
http://linked.open.../riv/klicoveSlovo	term document classification neural network
http://linked.open...ontrolniKodProRIV	[D54E2906AEC6]
http://linked.open...v/mistoKonaniAkce	Praha
http://linked.open...i/riv/mistoVydani	Prague
http://linked.open...i/riv/nazevZdroje	Proceedings of the 7th EUROSIM Congress on Modelling and Simulation, Vol. 2: Full Papers
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Skrbek, Miroslav Háva, Ondřej
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2010-09-06 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Transdisciplinární výzkum v oblasti biomedicínského inženýrství II
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Department of Computer Science and Engineering, FEE, CTU in Prague
https://schema.org/isbn	978-80-01-04589-3
http://localhost/t...ganizacniJednotka	21240
is http://linked.open...avai/riv/vysledek of	FAST SUPERVISED FEATURE EXTRACTION FROM STRUCTURED REPRESENTATION OF TEXT DATA FAST SUPERVISED FEATURE EXTRACTION FROM STRUCTURED REPRESENTATION OF TEXT DATA FAST SUPERVISED FEATURE EXTRACTION FROM STRUCTURED REPRESENTATION OF TEXT DATA

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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software