教師資料查詢 | 類別: 會議論文 | 教師: 楊智旭 YANG JR-SYU (瀏覽個人網頁)

標題:Evaluating Machine Learning Varieties for NBA Players Winning Contribution
學年106
學期2
發表日期2018/06/28
作品名稱Evaluating Machine Learning Varieties for NBA Players Winning Contribution
作品名稱(其他語言)English
著者P. Hsu; S. Galsanbadam; Jr-Syu Yang; C. Yang
作品所屬單位
出版者
會議名稱IEEE ICSSE 2018 Internation Conference on System Science and Engineering
會議地點National Taipei University, New Taipei City, Taiwan.
摘要The reputation of NBA breach its boundary worldwide and have numerous fans around all the world. As the league concerns a lot of money and fans, several of researches have been challenged trying to predict its results and winning teams. Through its history a lot of data and statistics are collected for NBA and it’s still becoming more rich and detailed. Even though, such enormous data available, it is still complicated to analyze and predict the outcome of match. In order to achieve exceptional prediction rating we will be focusing on how individual player’s achievement influences the team win rating. For our learning techniques, we choose SVR, polynomial regression and random forest regression as they are able to give consistent result regardless of complex data features.
關鍵字Maching Learning
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20180628~20180630
通訊作者Chan-Yun Yang
國別中華民國
公開徵稿
出版型式
出處ICSSE 2018
相關連結
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