The expectation-maximization (EM) algorithm is a cornerstone technique for parameter estimation in statistical models that incorporate latent variables or incomplete data. By iteratively alternating ...
Submodular maximization is a significant area of interest in combinatorial optimization, with numerous real-world applications. A research team led by Xiaoming SUN from the State Key Lab of Processors ...
With the development of the sixth generation wireless communication networks, low latency is required to support its applications. In order to meet the low latency requirement, short packet ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results