Many scheduling problems are posed as optimization problems where the goal is to find a feasible schedule that maximizes the utilization of some resource. In some domains it is al...
Andrew M. Sutton, Adele E. Howe, L. Darrell Whitle...
Dynamic binary translation is the process of translating and optimizing executable code for one machine to another at runtime, while the program is "executing" on the ta...
The use of heuristics as a means to improve constraint solver performance has been researched widely. However, most work has been on problem-independentheuristics (e.g., variable ...
Lise Getoor, Greger Ottosson, Markus P. J. Fromher...
In this study, we explore the domain of orthogonal transforms, in order to bring an understanding on the characterization of image features, with emphasis placed on the Karhunen-L...
Malek Adjouadi, Habibie Sumargo, Jean Andrian, Fra...
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...