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Semi-supervised SVM with Fuzzy Controlled Cooperation of Biology Related Algorithms
2017
Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics
Due to its wide applicability, the problem of semi-supervised classification is attracting increasing attention in machine learning. Semi-Supervised Support Vector Machines (SVM) are based on applying the margin maximization principle to both labelled and unlabelled examples. A new collective bionic algorithm, namely fuzzy controlled cooperation of biology related algorithms (COBRA-f), which solves constrained optimization problems, has been developed for semi-supervised SVM design. Firstly,
doi:10.5220/0006417400640071
dblp:conf/icinco/AkhmedovaSS17
fatcat:sklii7hkcjbknmj4ielzp44cz4