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 increasing availability of fungal genome sequences provides large numbers of proteins for evolutionary and phylogenetic analyses. However the heterogeneity of data...
— An evolutionary algorithm automatically discovers suitable solutions to a problem, which may lie anywhere in a large search space of candidate solutions. In the case of Genetic...
Buffer insertion has become a critical step in deep submicron design, and several buffer insertion/sizing algorithms have been proposed in the literature. However, most of these m...
Charles J. Alpert, Anirudh Devgan, Stephen T. Quay
This paper presents a system to analyze the reachability of the human body. The inverse kinematics technique is employed to find which regions of space are reachable using a certa...