Constrained sample selection for training models

• 1. 基于墨量限制样本的喷印设备光谱分色模型校正方法及系统 [P] . 中国专利： CN107341303A . 2017-11-10
• 2. 基于胞元式Neugebauer光谱模型预测超墨量限制多墨样本光谱的方法 [P] . 中国专利： CN103538385B . 2015.12.23
• 3. CONSTRAINED SAMPLE SELECTION FOR TRAINING MODELS [P] . 美国专利： US2019065989A1 . 2019-02-28

  机译： 训练模型的约束样本选择

• 4. TRAINING AND UTILIZING ITEM-LEVEL IMPORTANCE SAMPLING MODELS FOR OFFLINE EVALUATION AND EXECUTION OF DIGITAL CONTENT SELECTION POLICIES [P] . 美国专利： US2019303995A1 . 2019-10-03

  机译： 数字内容选择策略的离线评估和执行的培训和使用项目级别的重要抽样模型

• 5. SELF-TRAINING DATA SELECTION DEVICE, ESTIMATION MODEL LEARNING DEVICE, SELF-TRAINING DATA SELECTION METHOD, ESTIMATION MODEL LEARNING METHOD, AND PROGRAM [P] . 世界知识产权组织专利： WO2019202941A1 . 2019-10-24

  机译： 自训练数据选择装置，估计模型学习装置，自训练数据选择方法，估计模型学习方法和程序

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• 2. Active training sample selection and updating strategy for near-infrared model with an industrial application [J] . Kaixun He, Kai Wang, Yayun Yan 中国化学工程学报（英文版） . 2019,第011期
• 3. A New Sample-Selection and Modeling Method Based on Near-Infrared Spectroscopy and Its Industrial Application [J] . HE Kai-xun, CHENG Hui, QIAN Feng 东华大学学报（英文版） . 2014,第002期
• 4. An algorithm of training sample selection for integrated circuit device modeling based on artificial neural networks [C] . Zhiyuan Zhang, Xiaole Cui, Xinnan Lin, IEEE International Conference on Electron Devices and Solid-State Circuits . 2016
• 5. Analyzing the performance of constrained mean-variance models using matched pair samples. [D] . Saynac, Xavier. 2009
• 6. Variable Selection using Iterative Reformulation of Training Set Models for Discrimination of Samples: Application to Gas Chromatography Mass Spectrometry of Mouse Urinary Metabolites [O] . Kanet Wongravee, Nina Heinrich, Maria Holmboe, -1
• 7. Sampling frequency optimization and training model selection for physical activity classification with single triaxial accelerometer [O] . Jiang Chao 2015

• 1. Estimation of Multivariate Sample Selection Models via a Parameter-Expanded Monte Carlo EM Algorithm [J] . Phillip Li . 统计学期刊（英文） . 2014,第10期
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