In this paper, we propose a kernel-free semi-supervised quadratic surface support vector machine model for binary classification. The model is formulated as a mixed-integer programming problem, which ...
Support Vector Machines (SVMs) have become a cornerstone of machine learning, widely adopted for their robustness in classification and regression tasks across diverse fields ranging from remote ...
The Journal of the Operational Research Society, Vol. 60, No. 8, Data Mining and Operational Research: Techniques and Applications (Aug., 2009), pp. 1116-1122 (7 pages) The paper presents a novel ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results