In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
Computational puzzles are mildly difficult computational problems that require resources (processor cycles, memory, or both) to solve. Puzzles have found a variety of uses in secu...
Liqun Chen, Paul Morrissey, Nigel P. Smart, Bogdan...
Performance evaluation is a central issue in the design of complex real-time systems. In this work, we propose an extension of socalled "Max-Plus" algebraic techniques to...
Formal, modular, and mechanized verification of realistic systems code is desirable but challenging. Verification of machine context management (a basis of multi-tasking) is one ...
This paper describes how to generate compositions of semantic Web services using social trust information from user ratings of the services. We present a taxonomy of features, suc...