<p>The classification results of linear, polynomial, RBF and sigmoid SVMs with the optimal parameters.</p
© Published under licence by IOP Publishing Ltd. In the article several optimization models are cons...
The Problem: The Support Vector Machine (SVM) is a popular and powerful technique for binary classif...
<p>Optimal hyperparameters and classification results for CADx by DCNN with and without transfer lea...
<p>The classification results of the polynomial SVM with different degrees in the optimal parameters...
<p>SVM Classification Results for Linear Kernel for test v/s all five backgrounds (Variance Reduced)...
The purpose of the paper is to apply a nonlinear programming algorithm for com-puting kernel and rel...
In this thesis, support vector machines (SVMs) are studied from a mathematical optimization viewpoin...
<p>The classification performance (ARR) of SVM with the real best kernel vs. with the recommended ke...
In this report we show some consequences of the work done by Pontil et al. in [1]. In particular we ...
Support vector machines (SVMs) are a classifier that uses optimal separating hyperplanes (Vapnik, 19...
Support Vector Machines are a modern method assigned to the field of artificial intelligence. This m...
Three novel algorithms are presented; the linear programming (LP) machine for pattern classification...
We determine the asymptotically optimal choice of the parameter for classifiers of ν-support vector ...
<p>The Proximal Support Vector Machine Classifier: The planes around which points of the sets A+ an...
In this work, we provide an exposition of the support vector machine classifier (SVMC) algorithm. We...
© Published under licence by IOP Publishing Ltd. In the article several optimization models are cons...
The Problem: The Support Vector Machine (SVM) is a popular and powerful technique for binary classif...
<p>Optimal hyperparameters and classification results for CADx by DCNN with and without transfer lea...
<p>The classification results of the polynomial SVM with different degrees in the optimal parameters...
<p>SVM Classification Results for Linear Kernel for test v/s all five backgrounds (Variance Reduced)...
The purpose of the paper is to apply a nonlinear programming algorithm for com-puting kernel and rel...
In this thesis, support vector machines (SVMs) are studied from a mathematical optimization viewpoin...
<p>The classification performance (ARR) of SVM with the real best kernel vs. with the recommended ke...
In this report we show some consequences of the work done by Pontil et al. in [1]. In particular we ...
Support vector machines (SVMs) are a classifier that uses optimal separating hyperplanes (Vapnik, 19...
Support Vector Machines are a modern method assigned to the field of artificial intelligence. This m...
Three novel algorithms are presented; the linear programming (LP) machine for pattern classification...
We determine the asymptotically optimal choice of the parameter for classifiers of ν-support vector ...
<p>The Proximal Support Vector Machine Classifier: The planes around which points of the sets A+ an...
In this work, we provide an exposition of the support vector machine classifier (SVMC) algorithm. We...
© Published under licence by IOP Publishing Ltd. In the article several optimization models are cons...
The Problem: The Support Vector Machine (SVM) is a popular and powerful technique for binary classif...
<p>Optimal hyperparameters and classification results for CADx by DCNN with and without transfer lea...
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