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...
Background: The functional annotation of proteins relies on published information concerning their close and remote homologues in sequence databases. Evidence for remote sequence ...
Charles Richard Bradshaw, Vineeth Surendranath, Bi...
Most existing dynamic voltage scaling (DVS) schemes for multiple tasks assume an energy cost function (energy consumption versus execution time) that is independent of the task ch...
—Functional simulation is still the primary workhorse for verifying the functional correctness of hardware designs. Functional verification is necessarily incomplete because it i...
We study the problem of estimating the average of a Lipschitz continuous function f defined over a metric space, by querying f at only a single point. More specifically, we explore...