main webpage W Topic Machine Learning The European Physical Journal C • Vol 83 • No 7 Parton labeling without matching: unveiling emergent labelling capabilities in regression models 2023 Abstract Parton labeling methods are widely used when reconstructing collider events with top quarks or other massive particles. State-of-the-art techniques are based on machine learning and require training data with events that have been matched using simul… 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: The European Physical Journal C • Vol 83 • No 7 Parton labeling without matching: unveiling emergent labelling capabilities in regression models 2023 Abstract Parton labeling methods are widely used when reconstructing collider events with top quarks or other massive particles. State-of-the-art techniques are based on machine learning and require training data with events that have been matched using simulations with truth information. In nature, there is no unique matching between partons and final state objects due to the properties of the strong force and due to acceptance effects. We propose a new approach to parton labeling that circumvents these challenge… Open Article Page

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Explore Machine Learning W Topic Machine Learning The European Physical Journal C • Vol 83 • No 7 Parton labeling without matching: unveiling emergent labelling capabilities in regression models 2023 Abstract Parton labeling methods are widely used when reconstructing collider events with top quarks or other massive particles. State-of-the-art techniques are based on machine learning and require training data with events that have been matched using simul… Article Critical Symbolic Virtual Narrative Open Machine Learning Open Article Page