Abstract. Policies, sets of rules that govern permission to access resources, have long been used in computer security and online privacy management; however, the usability of auth...
Robert W. Reeder, Clare-Marie Karat, John Karat, C...
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian...
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Abstract. A well established heuristic approach for solving various bicriteria optimization problems is to enumerate the set of Pareto optimal solutions, typically using some kind ...
Abstract We introduce some differences in the style defeasible information is represented and inferences are made in nonmonotonic reasoning. These, at first sight harmless, chang...
Marcelino C. Pequeno, Rodrigo de M. S. Veras, Wlad...