We study compression that preserves the solution to an instance of a problem rather than preserving the instance itself. Our focus is on the compressibility of NP decision problem...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Parametric polymorphism has become a common feature of mainstream programming languages, but software component architectures have lagged behind and do not support it. We examine ...
Abstract. This paper describes jcc, an integration of the timed default concurrent constraint programming framework [16] (Timed Default cc) into JAVA [7]. jcc is intended for use i...
The RAW benchmark suite consists of twelve programs designed to facilitate comparing, validating, and improving reconfigurable computing systems. These benchmarks run the gamut o...
Jonathan Babb, Matthew Frank, Victor Lee, Elliot W...