Abstract. Achieving real-time response to complex, ambiguous, highbandwidth data is impractical with conventional programming. Only the narrow class of compressible input-output ma...
Abstract. Several computing environments including wide area networks and nondedicated networks of workstations are characterized by frequent unavailability of the participating ma...
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Abstract. A type-based certifying compiler maps source code to machine code and target-level type annotations. The target-level annotations make it possible to prove easily that th...
We build the generic methodology based on machine learning and reasoning to detect the patterns of interaction between conflicting agents, including humans and their assistants. L...