Can't Inflate Data? Let the Models Unite and Vote: Data-Agnostic Method to Avoid Overfit with Small Data

MLA

Shimmei, Machi, and Noboru Matsuda. “Can’t Inflate Data? Let the Models Unite and Vote: Data-Agnostic Method to Avoid Overfit with Small Data.” International Educational Data Mining Society, Jan. 2023. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=eric&AN=ED630839&authtype=sso&custid=ns315887.

APA

Shimmei, M., & Matsuda, N. (2023). Can’t Inflate Data? Let the Models Unite and Vote: Data-Agnostic Method to Avoid Overfit with Small Data. International Educational Data Mining Society.

Chicago

Shimmei, Machi, and Noboru Matsuda. 2023. “Can’t Inflate Data? Let the Models Unite and Vote: Data-Agnostic Method to Avoid Overfit with Small Data.” International Educational Data Mining Society, January. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=eric&AN=ED630839&authtype=sso&custid=ns315887.