Abstract: In this paper, we present a probability graph-based semantic information compression system for scenarios where the base station (BS) and the user share common background knowledge. We ...

In order to solve the above challenging problems, we propose an Ensemble Clustering based on Probability Graph Model with Graph Regularization (EC-PGMGR). It integrates several single-cell clustering ...

This project trained and provided models to predict and plot the win probability of both teams over time, given the replay file of a specific game. E-sports is a rapidly growing field and draws a lot ...

Introduction: Traditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. Despite their ability ...

Below is the win-probability chart for the Green Bay Packers' win over the Washington Redskins. The numbers here are based on data from ESPN Stats & Information. Win probability measures the chance ...