main webpage W Topic Machine Learning Sensors • Vol 23 • No 1 Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents 2022 In this study, we propose a method to automatically find features from a dataset that are effective for classification or prediction, using a new method called multi-agent reinforcement learning and a guide agent. Each feature of the dataset has one of the ma… Article Open Machine Learning Open Article Page

Machine Learning

Study of algorithms that improve automatically through experience Machine learning ( ML ) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalise to unseen data, and thus perform tasks without explicit instructions. Within a subdiscipline in machine learning, advances in the field of deep learning have allowed neural networks, a class of statistical algorithms, to surpass many previous machine learning approaches in performance. ML finds application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The application of ML to business problems is known as predictive analytics. Critical Symbolic Virtual Narrative Open Machine Learning Open Article Page

Exploring foci of: Sensors • Vol 23 • No 1 Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents 2022 In this study, we propose a method to automatically find features from a dataset that are effective for classification or prediction, using a new method called multi-agent reinforcement learning and a guide agent. Each feature of the dataset has one of the main and guide agents, and these agents decide whether to select a feature. Main agents select the optimal features, and guide agents present the criteria for judging the main agents’ actions. After obtaining the main and guide rewards for the features selected … Open Article Page

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Explore Machine Learning W Topic Machine Learning Sensors • Vol 23 • No 1 Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide Agents 2022 In this study, we propose a method to automatically find features from a dataset that are effective for classification or prediction, using a new method called multi-agent reinforcement learning and a guide agent. Each feature of the dataset has one of the ma… Article Critical Symbolic Virtual Narrative Open Machine Learning Open Article Page