SUPPORT VECTOR MACHINE BASED ON RANDOM SET SAMPLES

DOI10.1142/S0218488513400084zbMath1322.68160MaRDI QIDQ3195018

Hong-Jie Xing, Chao Wang, Jia-Qiang Chen, Ming-Hu Ha

Publication date: 21 October 2015

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

zbMATH Keywords

convex quadratic programmingsupport vector machinerandom setstructural risk minimization principle

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• A Green train scheduling model and fuzzy multi-objective optimization algorithm
• The theoretical foundations of statistical learning theory based on fuzzy number samples
• FUZZY TRANSDUCTIVE SUPPORT VECTOR MACHINES FOR HYPERTEXT CLASSIFICATION
• Some theoretical results of learning theory based on random sets in set‐valued probability space

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