We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
For real-time applications, it is necessary to estimate the worst-case performance early in the design process without actual hardware implementation. While the non-preemptive task...
—Fuzzy/similarity joins have been widely studied in the research community and extensively used in real-world applications. This paper proposes and evaluates several algorithms f...
Foto N. Afrati, Anish Das Sarma, David Menestrina,...
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
An Intrusion Detection Program (IDP) analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. In this talk, we p...