Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning

DOI10.1007/978-3-642-03969-0_4zbMath1187.68392OpenAlexW126746888MaRDI QIDQ3405704

Petr Hájek, Vladimír Olej

Publication date: 11 February 2010

Published in: Engineering Applications of Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-03969-0_4

zbMATH Keywords

supervised learningkernelsupport vector machinessemi-supervised learningmunicipal creditworthiness

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Credit rating analysis using adaptive fuzzy rule-based systems: an industry-specific approach ⋮ Machine learning in corporate credit rating assessment using the expanded audit report

Cites Work

• Kernel based algorithms for mining huge data sets. Supervised, semi-supervised, and unsupervised learning.
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