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Conservation machine learning [PDF]
Moshe Sipper+2 more
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Predicting ACL Reconstruction Failure with Machine Learning: Development of Machine Learning Prediction Models. [PDF]
Alaiti RK+5 more
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Introduction to Machine Learning
Abstract Considerable progress has been made in machine learning methods e.g., on the use of flexible nonlinear models, kernel-based methods, regularization techniques, sparsity, probabilistic approaches, different learning schemes and frameworks.
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Application of Machine Learning in Amorphous Alloys. [PDF]
Zhang L+5 more
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Biochar Stability Revealed by FTIR and Machine Learning. [PDF]
McCall MA+3 more
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Detection of pediatric developmental delay with machine learning technologies. [PDF]
Chen SB, Huang CH, Weng SC, Oyang YJ.
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Machine learning vehicle fuel efficiency prediction. [PDF]
Yoo SR, Shin JW, Choi SH.
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Advances in machine learning for keratoconus diagnosis. [PDF]
Muhsin ZJ+6 more
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Machine learning for improved density functional theory thermodynamics. [PDF]
Simak SI+2 more
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