Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
: A recent article by Joseph Buschman regrets that democratic theory is an unfinished idea. The argument appears to assume an essential relationship between library information sci...
Large-scale whole genome association studies are increasingly common, due in large part to recent advances in genotyping technology. With this change in paradigm for genetic studi...
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
With the feature size of semiconductor technology reducing and intellectual properties (IP) cores increasing, on chip communication architectures have a great influence on the perf...