We present a minimax framework for classification that considers stochastic adversarial perturbations to the training data. We show that for binary classification it is equivale...
In this paper we propose a language-driven approach for the high-level design of web-based learning applications. In our approach we define a domainspecific language that character...
We present the rational construction of a generic domain for structural analysis anguages: Pattern(D ), where the parameter D is an abstract domain satisfying certain properties. ...
Developing Web-based systems for agriculture and rural development requires the collaboration of experts from different scientific fields and backgrounds. Thus, it is crucial to ...
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...