Emergence of Prediction by Reinforcement Learning Using a Recurrent Neural Network by Kenta Goto, Katsunari Shibata

“…Among such functions, this paper focuses on learning “prediction” that is attracting attention recently from the viewpoint of autonomous learning. …”
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Political learning in territories of exclusion, conflict and popular organization (research notes) by Paulo J. Krischke

Subjects: “…political learning…”
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Temporal-Spatial Traffic Flow Prediction Model Based on Prompt Learning by Siteng Cai, Gang Liu, Jing He, Yulun Du, Zhichao Si, Yunhao Jiang

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Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations by Younghyun Lee, David K. Han, Hanseok Ko

“…A reinforced AdaBoost learning algorithm is proposed for object detection with local pattern representations. …”
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Determinants of E-Learning Adoption: Evidence from the Telecommunications Industry in Vietnam by BUI Tuyen Quang, NGUYEN Ngoc Minh, NGUYEN Phuong Mai

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Machine learning-based plasma metabolomics for improved cirrhosis risk stratification by Jingru Song, Ziwei Gao, Liqun Lai, Jie Zhang, Binbin Liu, Yi Sang, Siqi Chen, Jiachen Qi, Yujun Zhang, Huang Kai, Wei Ye

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Distance Learning at Russian Universities: “Step Forward, Two Steps Back”? by O. V. Mikhailov, Ya. V. Denisova

Subjects: “…distance learning…”
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Deep Learning on 3D Semantic Segmentation: A Detailed Review by Thodoris Betsas, Andreas Georgopoulos, Anastasios Doulamis, Pierre Grussenmeyer

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Learning-Based Image Restorations of Sparse-View CT Data: Is It Reliable? by Philip Maurice Trapp, Elias Eulig, Joscha Maier, Frederic Ballach, Raoul Christoph, Ralf Christoph, Marc Kachelrieß

“…  Learning-based methods for the restoration of computed tomography (CT) images promise very good image quality even in areas with insufficient data sampling and thus suggest enormous savings in measurement time. …”
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The District Health System must become a learning health system by L Gilson, O S Motshweneng

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Intelligent Controller Design and Fault Prediction Using Machine Learning Model by Kailash Kumar, Suyog Vinayak Pande, T. Ch. Anil Kumar, Parvesh Saini, Abhay Chaturvedi, Pundru Chandra Shaker Reddy, Krishna Bikram Shah

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Adaptive Language Processing Based on Deep Learning in Cloud Computing Platform by Wenbin Xu, Chengbo Yin

“…In this domain, each domain learns the intradomain model independently, and different domains share the same general model. …”
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Crowd Density Estimation of Scenic Spots Based on Multifeature Ensemble Learning by Xiaohang Xu, Dongming Zhang, Hong Zheng

“…To deal with these problems, an ensemble learning (EL) method using support vector regression (SVR) is proposed in this study for crowd density estimation (CDE). …”
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Baitul Maal learning organization in producing quality zakat accounting information by Marjulin Marjulin, Yusri Hazmi, Hilmi Hilmi, Teuku Zulkarnain, Busra Busra

Subjects: “…learning, organization, information, accountant, zakat…”
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More Adaptive and Updatable: An Online Sparse Learning Method for Face Recognition by Qiaoling Han, Jianbo Su, Yue Zhao

“…However, most of the face recognition models with learning strategy do not consider this fact and using a fixed training set to learn the face recognition models for once. …”
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Overview of Deep Learning and Nondestructive Detection Technology for Quality Assessment of Tomatoes by Yuping Huang, Ziang Li, Zhouchen Bian, Haojun Jin, Guoqing Zheng, Dong Hu, Ye Sun, Chenlong Fan, Weijun Xie, Huimin Fang

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Negative Correlation Learning for Customer Churn Prediction: A Comparison Study by Ali Rodan, Ayham Fayyoumi, Hossam Faris, Jamal Alsakran, Omar Al-Kadi

“…In this paper we will utilize an ensemble of Multilayer perceptrons (MLP) whose training is obtained using negative correlation learning (NCL) for predicting customer churn in a telecommunication company. …”
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Fault Identification of UHVDC Transmission Based on DF-AD and Ensemble Learning by Qingsheng Zhao, Xinyu Yang, Xiaoqing Han, Dingkang Liang, Xuping Wang

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Violence Detection From Industrial Surveillance Videos Using Deep Learning by Hamza Khan, Xiaohong Yuan, Letu Qingge, Kaushik Roy

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Machine Learning-Based Modeling of Celeration for Predicting Red-Light Violations by Mahmoud Masoud

Subjects: “…Machine learning…”
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