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基于图的预测模型及其应用

A Graph-based prediction model with applications
课程网址: http://videolectures.net/sikdd2018_kresz_prediction_model/  
主讲教师: Miklós Krész
开课单位: InnoRenew CoE公司
开课时间: 2018-11-22
课程语种: 英语
中文简介:
我们提出了一种使用基于图的评级方法进行概率预测的新模型。我们提供了一种前瞻性的基于图形的方法,并将其应用于预测足球比赛结果,只需使用调查比赛的历史比赛结果数据。我们模型的假设是,比赛日后球队的评级正确反映了他们的实际相对表现。我们认为评级向量的变化越小{包含每个团队的评分{在即将到来的单场比赛中出现某种结果后,出现这种结果的概率越高。通过对欧洲足球锦标赛数据进行实验,我们可以观察到,该模型总体上表现良好,在许多情况下在预测准确性方面优于广泛使用的布拉德利-特里模型的一些高级版本我们注意到,我们的方法可以应用于预测一般的图形过程。
课程简介: We present a new model for probabilistic forecasting using graph-based rating method. We provide a forward-looking" type graph-based approach and apply it to predict football game outcomes by simply using the historical game results data of the investigated competition. The assumption of our model is that the rating of the teams after a game day correctly reflects the actual relative performance of them. We consider that the smaller the changing of the rating vector {contains the ratings of each team { after a certain outcome in an upcoming single game, the higher the probability of that outcome. Performing experiments on European foot- ball championships data, we can observe that the model performs well in general and outperforms some of the advanced versions of the widely-used Bradley-Terry model in many cases in terms of predictive accuracy. Although the application we present here is special, we note that our method can be applied to forecast general graph processes.
关 键 词: 基于图的评级方法; 欧洲足球锦标赛数据; 进行概率预测的新模型; 布拉德利-特里模型
课程来源: 视频讲座网
数据采集: 2022-12-23:cyh
最后编审: 2023-05-15:cyh
阅读次数: 20