Censored targets, such as the time to events in survival analysis, can generally be represented by intervals on the real line. In this paper, we propose a novel support vector tec...
Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansch...
ion from the implementation they use. Some tools rather consequently use this abstract model; others at least partly keep the implementational view, modeling components, e.g., by o...
Support vector machines utilizing the 1-norm, typically set up as linear programs (Mangasarian, 2000; Bradley and Mangasarian, 1998), are formulated here as a completely unconstra...
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Customers of public computing sites and faculty who use the public computer classrooms to teach want diversity in computing. Inevitably, there’s a group that does not want to te...