Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
The problem of programmability on modern heterogeneous multicore and future manycore embedded platforms is still not solved satisfactorily: although many existing but incompatible ...
In this paper, based on the concept of the Tapped Delay Line (TDL) structure, we first propose a new wideband multiple-ring Multiple Input Multiple Output (MIMO) channel reference ...
In this paper, an efficient design for implementing binary sequence generator on 32-bit instruction execution mode TI TMS320C6416 DSP is presented. The main goal is to achieve high...