Results 51 to 60 of about 1,130,914 (300)
PREDICTIVE ANALYSIS OF HEART DISEASES WITH MACHINE LEARNING APPROACHES
Malaysian Journal of Computer Science, 2022 Machine Learning (ML) is used in healthcare sectors worldwide. ML methods help in the protection of heart diseases, locomotor disorders in the medical data set.
Ramesh Tr +5 more
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A Review on Background and Applications of Machine Learning in Materials Research
Journal of Computational Intelligence in Materials Science, 2023 In recent decades, Artificial Intelligence (AI) has garnered considerable interest owing to its potential to facilitate greater levels of automation and speed up overall output. There has been a significant increase in the quantity of training data sets,
Robert Ahmed, Christna Ahler
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Machine learning and artificial neural network accelerated computational discoveries in materials science [PDF]
WIREs Computational Molecular Science, 2019 AbstractArtificial intelligence (AI) has been referred to as the “fourth paradigm of science,” and as part of a coherent toolbox of data‐driven approaches, machine learning (ML) dramatically accelerates the computational discoveries. As the machinery for ML algorithms matures, significant advances have been made not only by the mainstream AI ...
Yang Hong +3 more
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Machine Learning Bell Nonlocality in Quantum Many-body Systems
, 2017 Machine learning, the core of artificial intelligence and big data science, is one of today's most rapidly growing interdisciplinary fields. Recently, its tools and techniques have been adopted to tackle intricate quantum many-body problems. In this work,
Deng, Dong-Ling
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Climbing down Charney’s ladder: machine learning and the post-Dennard era of computational climate science [PDF]
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2021 The advent of digital computing in the 1950s sparked a revolution in the science of weather and climate. Meteorology, long based on extrapolating patterns in space and time, gave way to computational methods in a decade of advances in numerical weather forecasting.
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A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems [PDF]
, 2019 We propose a set of compositional design patterns to describe a large variety of systems that combine statistical techniques from machine learning with symbolic techniques from knowledge representation.
Teije, Annette ten, van Harmelen, Frank
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REFORMS: Consensus-based Recommendations for Machine-learning-based Science
Science AdvancesMachine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and generalizability.
Sayash Kapoor +18 more
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Iraqi Journal for Computer Science and Mathematics, 2022 In the modern era, many terms related to artificial intelligence, machine learning, and deep learning are widely used in domains such as business, healthcare, industries, and military.
Maad M. Mijwil
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TechnologiesMachine vision, an interdisciplinary field that aims to replicate human visual perception in computers, has experienced rapid progress and significant contributions.
Nikoleta Manakitsa +3 more
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A review of molecular representation in the age of machine learning
WIREs Computational Molecular Science, 2022 Research in chemistry increasingly requires interdisciplinary work prompted by, among other things, advances in computing, machine learning, and artificial intelligence.
Daniel S. Wigh, J. Goodman, A. Lapkin
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