Agent based online auctions have not yet become popular because they are not trustable. One of the major concerns in agent based online auctions is the shilling behavior problem, w...
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Some domains, such as real-time strategy (RTS) games, pose several challenges to traditional planning and machine learning techniques. In this paper, we present a novel on-line ca...
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Very thorough online self-test is essential for overcoming major reliability challenges such as early-life failures and transistor aging in advanced technologies. This paper demon...