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	Self-Training Algorithm With Block Similar Neighbor Editing 期刊论文 IEEE ACCESS, 2024, 卷号: 12, 页码: 110418-110431 作者: Bai, Wenwang; Zhang, Cuihong; Yang, Zhengguo; Yang, He 收藏 \| 浏览/下载：52/0 \| 提交时间：2024/09/13 Iterative methods Semisupervised learning Training Prototypes Prediction algorithms Noise measurement Euclidean distance Semi-supervised learning self-training classification block similar neighbor data editing
	Research on the Generalization Problem of BP Neural Network 期刊论文 IEEE ACCESS, 2024, 卷号: 12, 页码: 125416-125426 作者: Tian, Yanli; Fu, Deyin; Li, Guangzheng 收藏 \| 浏览/下载：44/0 \| 提交时间：2024/10/09 Training data Predictive models Analytical models Biological neural networks Data models Artificial neural networks Noise measurement Boundary samples BP neural network model dynamic clustering training set
	Literature analysis on the research status of mass entrepreneurship and innovation training projects : Document metrology based on CNKI database 会议论文 Proceedings - 2022 3rd International Conference on Education, Knowledge and Information Management, ICEKIM 2022, Virtual, Online, China, January 21, 2022 - January 23, 2022 作者: Zhou, Liang; Zhang, Wen Jing 收藏 \| 浏览/下载：57/0 \| 提交时间：2024/02/26 Application programs Curricula Students CNKI College students Data-source Literature analyse school Literature analysis Project documents Research status Training program University student' innovation and entrepreneurship training program University students
	A Dual-Module Information Fusion Aspect-Level Sentiment Classification Model 会议论文 2024 5th International Conference on Electronic Communication and Artificial Intelligence, ICECAI 2024, Hybrid, Shenzhen, China, May 31, 2024 - June 2, 2024 作者: He, Bowen; Li, Qiang; Zhang, Yihua; Zhang, Yongfu 收藏 \| 浏览/下载：21/0 \| 提交时间：2024/11/05 Classification (of information) Data fusion BERT pre-training Classification models Customer review Features fusions Multi-granularity Multi-granularity convolution Pre-training Product feature Sentiment classification Social media
	Application of Classifier Based on STDPM Algorithm 会议论文 Proceedings of SPIE - The International Society for Optical Engineering, Qingdao, China, July 8, 2022 - July 10, 2022 作者: Li, Bing; Wang, Jikui 收藏 \| 浏览/下载：79/0 \| 提交时间：2022/12/21 Classification (of information) Iterative methods Learning algorithms Medical imaging Support vector machines current Algorithm framework Base classifiers Classification performance Iteration process Self-training Semi-supervised algorithm Semi-supervised learning Semisupervised classification (SSC) Training algorithms
	Rational talent movement advances the organization and local economy 会议论文 HARBIN INSTITUTE TECHNOLOGY PUBLISHERS, ATLANTA, GA, AUG 15-17, 2003 作者: Dong, Y 收藏 \| 浏览/下载：107/0 \| 提交时间：2021/03/24 talent movement human training
	鲁棒的高置信度样本选择方法在Self-training算法中的研究学位论文硕士研究生 C93/86 0006282 甘肃省兰州市: 兰州财经大学, 2024 作者: 段会雨 Adobe PDF(4207Kb) \| 收藏 \| 浏览/下载：91/20 \| 提交时间：2024/06/17 self-training 高置信度样板局部邻居全局信息数据编辑
	A robust self-training algorithm based on relative node graph 期刊论文 APPLIED INTELLIGENCE, 2025, 卷号: 55, 期号: 1 作者: Wang, Jikui; Duan, Huiyu; Zhang, Cuihong; Nie, Feiping 收藏 \| 浏览/下载：64/0 \| 提交时间：2024/12/04 Semi-supervised learning High-confidence samples Self-training Data editing
	Fast semi-supervised self-training algorithm based on data editing 期刊论文 INFORMATION SCIENCES, 2023, 卷号: 626, 页码: 293-314 作者: Li, Bing; Wang, Jikui; Yang, Zhengguo; Yi, Jihai; Nie, Feiping 收藏 \| 浏览/下载：86/0 \| 提交时间：2023/04/04 Semi-supervised learning Self-training classification Ball-k-means Data editing
	Big Data Analysis and Prediction System Based on Improved Convolutional Neural Network 期刊论文 Computational Intelligence and Neuroscience, 2022, 卷号: 2022 作者: Du, Xuegong; Cao, Xiaojun; Zhang, Rui 收藏 \| 浏览/下载：56/0 \| 提交时间：2023/02/24 Convolution Distributed database systems Feature extraction Cameras Template matching Convolutional neural networks Data mining Iterative methods Cloud services Convolutional neural network Data analysis system Distributed data structures Matching technology Matchings Prediction systems Services combinations Surrounding environment Training speed

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