A survey on multi-output regression
نویسندگان
چکیده
In recent years, a plethora of approaches have been proposed to deal with the increasingly challenging task of multi-output regression. This study provides a survey on state-of-the-art multi-output regression methods, that are categorized as problem transformation and algorithm adaptation methods. In addition, we present the mostly used performance evaluation measures, publicly available data sets for multi-output regression real-world problems, as well as open-source software frameworks. © 2015 John Wiley & Sons, Ltd.
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عنوان ژورنال:
- Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery
دوره 5 شماره
صفحات -
تاریخ انتشار 2015