This paper presents a framework for learning player embeddings in competitive games and events. Players their win-loss relationships are modeled as skill gap graph, which is an undirected weighted graph. The learned from the graph using random walk-based embedding method can reflect relative levels among players. Embeddings low-dimensional vector representations that be conveniently applied to ...

this paper presents a new bridge management system (j-bms). it is integrated with a concrete bridge rating expert system that can be used to evaluate the serviceability of existing concrete bridges. the proposed j-bms not only evaluates the performance of bridges, but also offers a rehabilitation strategy based on a combination of maintenance cost minimization and quality maximization. in this ...

We present a new system for rating the playing strength of table-tennis players. The system is based on Bayesian principles and is designed to handle a large changing population of players, where some players play frequently whereas other players play infrequently. The system takes into account the length of time since a player last played a tournament. When processing matches in a single tourn...

Growing prevalence of smartphone makes photography easier than ever. However, the quality of photos varies widely. Because judging the aesthetic of photos is based on several "rule-of-thumb", it remains difficult for computers to rate photos without manual intervention. In this work, we utilize aesthetic features of photos and machine learning techniques to automatically distinguish good photos...

One of the most common styles of business today is electronic business, since it is considered as a principal mean for financial transactions among advanced countries. In view of the fact that due to the evolution of human knowledge and the increase of expectations following that, traditional marketing in electronic business cannot meet current generation’s needs, in order to survive, organizat...