About: Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning

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

About: Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning 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	This paper presents the modelling possibilities of kernel-based approaches to a complex real-world problem, i.e. corporate and municipal credit rating classification. Based on a model design that includes data pre-processing, the labelling of individual parameter vectors using expert knowledge, the design of various support vector machines with supervised learning as well as kernel-based approaches with semi-supervised learning, this modelling is undertaken in order to classify objects into rating classes. The results show that the rating classes assigned to bond issuers can be classified with high classification accuracy using a limited subset of input variables. This holds true for kernel-based approaches with both supervised and semi-supervised learning. This paper presents the modelling possibilities of kernel-based approaches to a complex real-world problem, i.e. corporate and municipal credit rating classification. Based on a model design that includes data pre-processing, the labelling of individual parameter vectors using expert knowledge, the design of various support vector machines with supervised learning as well as kernel-based approaches with semi-supervised learning, this modelling is undertaken in order to classify objects into rating classes. The results show that the rating classes assigned to bond issuers can be classified with high classification accuracy using a limited subset of input variables. This holds true for kernel-based approaches with both supervised and semi-supervised learning. (en)
Title	Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning (en)
skos:prefLabel	Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning (en)
skos:notation	RIV/00216275:25410/11:39882095!RIV12-GA0-25410___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA402/08/0849), P(GP402/09/P090)
http://linked.open...iv/cisloPeriodika	6
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Hájek, Petr Olej, Vladimír
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Pardubice / Fakulta ekonomicko-správní
http://linked.open...dnocenehoVysledku	192221
http://linked.open...ai/riv/idVysledku	RIV/00216275:25410/11:39882095
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	semi-supervised learning; supervised learning; support vector machines; kernel; Credit rating (en)
http://linked.open.../riv/klicoveSlovo	Credit rating kernel semi-supervised learning supervised learning support vector machines
http://linked.open...odStatuVydavatele	DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV	[78A1241A2FA7]
http://linked.open...i/riv/nazevZdroje	Neural Computing and Applications
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Model of Sustainable Regional Development Management Modelling of Municipal Finance by Computational Intelligence Methods
http://linked.open...UplatneniVysledku	2011
http://linked.open...v/svazekPeriodika	20
http://linked.open...iv/tvurceVysledku	Hájek, Petr Olej, Vladimír
issn	0941-0643
number of pages	13 (xsd:int)
http://bibframe.org/vocab/doi	10.1007/s00521-010-0495-0
http://localhost/t...ganizacniJednotka	25410

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