Manifold Regularized Proximal Support Vector Machine via Generalized Eigenvalue
نویسندگان
چکیده
منابع مشابه
Differential Search Algorithm-based Parametric Optimization of Fuzzy Generalized Eigenvalue Proximal Support Vector Machine
Support Vector Machine (SVM) is an effective model for many classification problems. However, SVM needs the solution of a quadratic program which require specialized code. In addition, SVM has many parameters, which affects the performance of SVM classi?er. Recently, the Generalized Eigenvalue Proximal SVM (GEPSVM) has been presented to solve the SVM complexity. In real world applications data ...
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ژورنال
عنوان ژورنال: International Journal of Computational Intelligence Systems
سال: 2016
ISSN: 1875-6891,1875-6883
DOI: 10.1080/18756891.2016.1256570