SYSTEMS AND METHODS FOR ADAPTIVE TRAINING OF A MACHINE LEARNING SYSTEM PROCESSING TEXTUAL DATA

• 1. 用于机动车辆的前灯控制系统和训练用于前灯控制系统的机器学习模型的方法 [P] . 中国专利： CN113544011A . 2021-10-22
• 2. 用于语音识别的训练文本数据的筛选方法及系统 [P] . 中国专利： CN110223675A . 2019-09-10
• 3. SYSTEMS AND METHODS FOR ADAPTIVE TRAINING OF A MACHINE LEARNING SYSTEM PROCESSING TEXTUAL DATA [P] . 美国专利： US2020320411A1 . 2020-10-08

  机译： 用于处理文本数据的机器学习系统的自适应训练的系统和方法

• 4. DATA PROCESSING SYSTEM AND METHOD FOR ACQUIRING DATA FOR TRAINING A MACHINE LEARNING MODEL FOR USE IN MONITORING THE DATA PROCESSING SYSTEM FOR ANOMALIES [P] . US2021272016A1 . 2021-09-02

  机译： 用于获取用于训练机器学习模型的数据的数据处理系统和方法，以用于监控用于异常的数据处理系统

• 5. IMAGE DATA PROCESSING METHOD, METHOD OF TRAINING A MACHINE LEARNING DATA PROCESSING MODEL AND IMAGE PROCESSING SYSTEM [P] . WO2021125950A1 . 2021-06-24

  机译： 图像数据处理方法，训练机器学习数据处理模型和图像处理系统的方法

• 1. 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
• 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, 中国林学（英文版） . 2021,第002期
• 3. USING SPEECH SIGNAL PROCESSING AND MACHINE LEARNING TO PROVIDE AUTOMATED FEEDBACK ON MOTIVATIONAL INTERVIEWING: TRAINING DATA, SYSTEM DESIGN, AND PILO [J] . Atkins D. C. Alcoholism: Clinical and experimental research . 2017,第Suppla1期
• 4. Structuring of Textual Data and its Processing with Database Management Systems in the Development of Computer Assisted Testing Systems for Students [J] . Rustam Arifovich Burnashev, Arslan Ilyasovitch Enikeev International journal of soft computing . 2016,第7期
• 5. Machine learning approaches to analysing textual injury surveillance data: A systematic review [J] . Vallmuur Kirsten Accident Analysis & Prevention . 2015,第juna期
• 6. Online Review Content Moderation Using Natural Language Processing and Machine Learning Methods : 2021 Systems and Information Engineering Design Symposium (SIEDS) [C] . Alicia Doan, Nathan England, Travis Vitello Systems and Information Engineering Design Symposium . 2021
• 7. Integrating Data-Driven Methods in Nonlinear Dynamical Systems: Control, Sparsity and Machine Learning [D] . Fu, Xing. 2014
• 8. Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Performance of Gait Classifications Using Machine Learning [O] . Johannes Burdack, Fabian Horst, Sven Giesselbach, 2020
• 9. Priority of scientific and technological development "The transition to advanced digital, intelligent manufacturing technologies, robotic systems, new materials and methods of design, the creation of systems for processing large amounts of data, machine learning and artificial intelligence". Opening speech of the chairman of the priority council of RAS academician I.A. Kalyaev [O] . I. A. Kalyaev 2019
• 10. Data Processing And Machine Learning Methods For Multi-Modal Operator State Classification Systems. [R] . Hearn, T. A. 2015

• 1. False Data Injection Attacks Detection in Power System Using Machine Learning Method [J] . Can Yang ,Yong Wang ,Yuhao Zhou . 电脑和通信（英文） . 2018,第11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. An Adaptive Learning Method for the Generation of Fuzzy Inference System from Data [J] . ZHANG Li-Quan ,SHAO Cheng . 自动化学报 . 2008,第1期
• 4. 用于自适应巡航系统评价的系统特性生成方法 [C] . Xie Li ,谢力 ,Chen Hui . 2015中国汽车工程学会年会 . 2015
• 5. 基于机器学习的铁路系统故障文本数据分析挖掘技术研究 [A] . 袁婕 . 2020