The paper reports some new variants of gradient ascent type in learning SVMs. The theoretical development is presented in the third section of the paper.
Abstract—The paper reports some new variants of gradient ascent type in learning SVMs. The theoretical development is presented in the third section of the ...
Heuristic Attempts to Improve the Generalization Capacities in Learning SVMs. SNPD 2012: 108-113; 2011. [j1]. view. electronic edition via DOI · unpaywalled ...
A heuristic method for accelerating support vector machine (SVM) training based on a measurement of similarity among samples is presented in this paper.
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Feb 12, 2004 · February 12, 2004. Abstract. We show that the removal of outliers when training support vector machines both improves the generalization ...
Sep 30, 2020 · This paper provides a brief introduction of SVMs, describes many applications and summarizes challenges and trends.
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Heuristic Attempts to Improve the Generalization Capacities in Learning SVMs. Conference Paper. Full-text available. Aug 2012. Luminita State ...
Abstract. We investigate learning heuristics for domain- specific planning. Prior work framed learning a heuristic as an ordinary regression problem. How-.
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Comparative Study of the Performance of Support Vector Machines with Various Kernels. Heuristic Attempts to Improve the Generalization Capacities in Learning ...
Jul 6, 2022 · We additionally design a flexible and efficient heuristic method for learning robust and fair models, which can easily be integrated into ...