دورية أكاديمية

Using Partial Combination Models to Improve Prediction Quality and Transparency in Mixed Datasets

التفاصيل البيبلوغرافية
العنوان: Using Partial Combination Models to Improve Prediction Quality and Transparency in Mixed Datasets
المؤلفون: Wu, Yi-Hsin, Chang, Yu-Hsin, Tien, Yin-Jing, Yu, Cheng-Juei, Wang, Sheng-De, Wu, Cheng-Hung
المساهمون: Advanced Artificial Intelligence Technologies and Industry Applications, III Innovative and Prospective Technologies Project, Ministry of Economic Affairs in Taiwan, Ministry of Science and Technology, Taiwan
المصدر: IEEE Access ; volume 8, page 132106-132120 ; ISSN 2169-3536
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE)
سنة النشر: 2020
مصطلحات موضوعية: General Engineering, General Materials Science, General Computer Science
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
DOI: 10.1109/access.2020.3008475
الإتاحة: https://doi.org/10.1109/access.2020.3008475Test
http://xplorestaging.ieee.org/ielx7/6287639/8948470/09138424.pdf?arnumber=9138424Test
حقوق: https://creativecommons.org/licenses/by/4.0/legalcodeTest
رقم الانضمام: edsbas.E57E50D2
قاعدة البيانات: BASE