A machine learning system is typically composed of model and data.
An unsupervised Neural Network (NN) structure is applied to filter the detected transmission collision probability on the unlicensed spectrum, which enables the NR users to precisely rectify the measurement error and estimate the number of active WiFi users.
Information Theory Information Theory
In this paper, a Device-to-Device communication on unlicensed bands (D2D-U) enabled network is studied.
In this paper, we propose a novel latent factor model called COMET (COnvolutional diMEnsion inTeraction), which simultaneously model the high-order interaction patterns among historical interactions and embedding dimensions.
We argue that recommendation on global and local graphs outperforms that on a single global graph or multiple local graphs.