Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Via an oracle experiment, we show that the upper bound on accuracy of a CCG parser is significantly lowered when its search space is pruned using a supertagger, though the supert...
We demonstrate an improved consensus-driven utility accrual scheduling algorithm (DUA-CLA) for distributable threads which execute under run-time uncertainties in execution time, ...
Jonathan Stephen Anderson, Binoy Ravindran, E. Dou...
We present a framework for (static) verification of general resource usage program properties. The framework extends the criteria of correctness as the conformance of a program to ...
It is well known that in a typical real-time system, certain parameters, such as the execution time of a job, are not fixed numbers. In such systems, it is common to characterize ...