MACHINE LEARNING METHOD, APPARATUS, AND COMPUTER PROGRAM FOR PROVIDING PERSONALIZED EDUCATIONAL CONTENT BASED ON LEARNING EFFICIENCY

• 1. 用于基于学习效率提供私人定制教育内容的机械学习方法、装置及计算机程序 [P] . 中国专利： CN111328407A . 2020-06-23
• 2. 用于提供个性化用户接口的方法、装置和计算机程序 [P] . 中国专利： CN102272701B . 2016.03.23
• 3. MACHINE LEARNING METHOD, DEVICE, AND COMPUTER PROGRAM FOR PROVIDING PERSONALIZED EDUCATIONAL CONTENT BASED ON LEARNING EFFICIENCY [P] . 韩国专利： KR102075936B1 . 2020-03-02

  机译： 基于学习效率的个性化教学内容的机器学习方法，装置和计算机程序

• 4. MACHINE LEARNING METHOD, DEVICE, AND COMPUTER PROGRAM FOR PROVIDING PERSONALIZED EDUCATIONAL CONTENT BASED ON LEARNING EFFICIENCY [P] . 韩国专利： KR102015075B1 . 2019-08-27

  机译： 基于学习效率的个性化教学内容的机器学习方法，装置和计算机程序

• 5. MACHINE LEARNING METHOD, DEVICE, AND COMPUTER PROGRAM FOR PROVIDING PERSONALIZED EDUCATIONAL CONTENTS ON BASIS OF LEARNING EFFICIENCY [P] . 世界知识产权组织专利： WO2020080826A1 . 2020-04-23

  机译： 基于学习效率提供个性化教育内容的机器学习方法，设备和计算机程序

• 1. Comparison and Adaptation of Two Strategies for Anomaly Detection in Load Profiles Based on Methods from the Fields of Machine Learning and Statistics [J] . Patrick Krawiec, Mark Junge, Jens Hesselbach 能源效率（英文） . 2021,第002期
• 2. Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems [J] . Albert Morera, Juan Martínez de Aragón, José Antonio Bonet, 森林生态系统：英文版 . 2021,第002期
• 3. Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems [J] . Albert Morera, Juan Martínez de Aragón, José Antonio Bonet, 中国林学（英文版） . 2021,第002期
• 4. A Method to Describe Student Learning Status for Personalized Computer Programming e-Learning Environment [C] . Yu Yan, Kohei Hara, Hiroto Nakano, IEEE International Conference on Advanced Information Networking and Applications . 2016
• 5. Development of computer aided drug discovery methods based on machine learning techniques and application to the dopamine D1 receptor. [D] . Oloff, Scott H. 2005
• 6. Flexible Data Trimming Improves Performance of Global Machine Learning Methods in Omics-Based Personalized Oncology [O] . Victor Tkachev, Maxim Sorokin, Constantin Borisov, 2020
• 7. Computer Education’s Teaching-Learning Methods Using Educational Programming Language Based on STEAM Education [O] . Park, Namje, Ko, Yeonghae 2012

• 1. Problem Based Learning： Obtaining Enzyme Kinetics Parameters Integrating Linear Algebra, Computer Programming and Biochemistry Curriculum [J] . Regalado Alejandro ,Baiez Juan ,Peralta Ever . 通讯和计算机 . 2010,第011期
• 2. Machine Learning and Classical Forecasting Methods Based Decision Support Systems for COVID-19 [J] . RamazanÜnlü ,Ersin Namlı . 计算机、材料和连续体(英文) . 2020,第9期
• 3. 一种用于机器人的环境边界学习方法及其实际应用 [C] . 杨淮清 ,万辉 ,姜琳 . 全国先进制造技术高层论坛暨制造业自动化、信息化技术研讨会 . 2005
• 4. 机器学习方法用于丙型肝炎病毒抑制剂生物活性的预测研究 [A] . 秦子健 . 2021