Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
imizer Communication using Abstract Plans in Sybase ASE Query optimizers are error prone, due to both their nature and the increased search space that modern query processing requ...
Disfluencies include editing terms such as uh and um as well as repeats and revisions. Little is known about how disfluencies are processed, and there has been next to no research...
Fernanda Ferreira, Ellen F. Lau, Karl G. D. Bailey
We present a functional DBPL in the style of FP that facilitates the definition of precise semantics and opens up opportunities for far-reaching optimizations. The language is int...
Tuning applications for multi-core systems involve subtle concepts and target-dependent optimizations. New languages are being designed to express concurrency and locality without...
Cupertino Miranda, Philippe Dumont, Albert Cohen, ...