Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
Abstract. Starting from algebraic properties that enable guessing lowentropy secrets, we formalize guessing rules for symbolic verification. The rules are suited for both off-line ...
We propose a unifying framework for model-based specification notations. Our framework captures the execution semantics that are common among model-based notations, and leaves the...
Functional validation of microprocessors is growing in complexity in current and future microprocessors. Traditionally, the different components (or validation collaterals) used i...
Sreekumar V. Kodakara, Deepak Mathaikutty, Ajit Di...
Abstract. Organizations are increasingly using the the eXtensible Markup Language (XML) for document representation and exchange on the Web. To protect an XML document from unautho...