1 resultado para MILLING MACHINES
em Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest
Filtro por publicador
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- Applied Math and Science Education Repository - Washington - USA (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (14)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (48)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (12)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- CaltechTHESIS (2)
- Cámara de Comercio de Bogotá, Colombia (1)
- Cambridge University Engineering Department Publications Database (55)
- CentAUR: Central Archive University of Reading - UK (30)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (5)
- Cochin University of Science & Technology (CUSAT), India (4)
- Collection Of Biostatistics Research Archive (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (3)
- Deakin Research Online - Australia (78)
- Department of Computer Science E-Repository - King's College London, Strand, London (8)
- Digital Commons - Michigan Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (9)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (1)
- DigitalCommons@University of Nebraska - Lincoln (2)
- Diposit Digital de la UB - Universidade de Barcelona (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (8)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (16)
- Greenwich Academic Literature Archive - UK (8)
- Helda - Digital Repository of University of Helsinki (17)
- Indian Institute of Science - Bangalore - Índia (67)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (4)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (1)
- Laboratório Nacional de Energia e Geologia - Portugal (1)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (11)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (3)
- National Center for Biotechnology Information - NCBI (4)
- Nottingham eTheses (3)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (40)
- Queensland University of Technology - ePrints Archive (227)
- Repositorio Academico Digital UANL (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (50)
- Repositorio Institucional Universidad de Medellín (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- School of Medicine, Washington University, United States (1)
- Scielo Uruguai (1)
- Universidad de Alicante (1)
- Universidad Politécnica de Madrid (12)
- Universitat de Girona, Spain (1)
- Université de Montréal (1)
- Université de Montréal, Canada (6)
- Université Laval Mémoires et thèses électroniques (1)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (116)
- University of Queensland eSpace - Australia (17)
- University of Southampton, United Kingdom (3)
- University of Washington (1)
Resumo:
In our study we rely on a data mining procedure known as support vector machine (SVM) on the database of the first Hungarian bankruptcy model. The models constructed are then contrasted with the results of earlier bankruptcy models with the use of classification accuracy and the area under the ROC curve. In using the SVM technique, in addition to conventional kernel functions, we also examine the possibilities of applying the ANOVA kernel function and take a detailed look at data preparation tasks recommended in using the SVM method (handling of outliers). The results of the models assembled suggest that a significant improvement of classification accuracy can be achieved on the database of the first Hungarian bankruptcy model when using the SVM method as opposed to neural networks.