The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Ro...
In support vector machines (SVM), the kernel functions which compute dot product in feature space significantly affect the performance of classifiers. Each kernel function is suit...
The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns ...
— Unwanted and malicious messages dominate Email traffic and pose a great threat to the utility of email communications. Reputation systems have been getting momentum as the sol...
Yuchun Tang, Sven Krasser, Yuanchen He, Weilai Yan...