Doraikuri - training machine

• 1. 包含涂金麦闪石和涂金二氧化钛的麦闪石陶瓷组合物及其制造方法 [P] . 中国专利： CN101838139A . 2010-09-22
• 2. 一种雷酸金清洗装置 [P] . 中国专利： CN214436906U . 2021-10-22
• 3. Doraikuri - training machine [P] . 日本专利： JPS6414396U . 1989-01-25

  机译： 多雷库里·雷恩·麦金

• 4. Doraikuri - training equipment [P] . 日本专利： JP2957850B2 . 1999-10-06

  机译： Doraikuri-训练器材

• 5. Doraikuri - training for solvent composition [P] . 日本专利： JPH0768546B2 . 1995-07-26

  机译： Doraikuri-溶剂成分培训

• 1. Real-time prediction of projectile penetration to laminates by training machine learning models withfinite element solver as the trainer [J] . Pushkar Wadagbalkar, G.R.Liu 兵工学报（英文版） . 2021,第001期
• 2. Training Robust Support Vector Machine Based on a New Loss Function [J] . LIU Ye-qing 东华大学学报（英文版） . 2015,第002期
• 3. Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios [C] . Haipeng Sun, Rui Wang, Kehai Chen, Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 2021
• 4. Machine learning approaches for dealing with limited bilingual training data in statistical machine translation. [D] . Haffari, Gholamreza. 2009
• 5. Man versus Machine: Software Training for Surgeons—An Objective Evaluation of Human and Computer-Based Training Tools for Cataract Surgical Performance [O] . Nizar Din, Phillip Smith, Krisztina Emeriewen, 2016
• 6. Machine learning methods for the automatic evaluation of exercises on sensor-equipped weight training machines [O] . Novatchkov Hristo, Baca Arnold 2012
• 7. Training Developers Decision Aid for Optimizing Performance-Based Training in Machine Ascendant MOS [R] . Pieper, W. J., Guard, N. R., Michael, W. T., 1979

• 1. A Distributed Computing Framework Based on Lightweight Variance Reduction Method to Accelerate Machine Learning Training on Blockchain [J] . Zhen Huang ,Feng Liu ,Mingxing Tang . 中国通信 . 2020,第009期
• 2. Research on the Man-machine Interactive Environment VR and the Applications on Vocational Education and Training under the Perspective of Interactivity [J] . Xiaoyi ,Huo12 . International Journal of Technology Management . 2016,第007期
• 3. Training with Input Selection and Testing (TWIST) Algorithm: A Significant Advance in Pattern Recognition Performance of Machine Learning [J] . Massimo Buscema ,Marco Breda ,Weldon Lodwick . 智能学习系统与应用（英文） . 2013,第1期
• 4. 基于证据权法的塔吉克斯坦朗库里地区铜、金、铅锌成矿预测 [C] . 杨博 ,孟广路 ,王斌 . 第六届全国成矿理论与找矿方法学术讨论会 . 2013
• 5. 麦金莱政府时期海外扩张研究 [A] . 刘亚坤 . 2017