Retracted: Estimation of International Gold Price by Fusing Deep/Shallow Machine Learning by Journal of Advanced Transportation

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Retracted: Research on Automatic Classification Method of Ethnic Music Emotion Based on Machine Learning by Journal of Mathematics

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Retracted: Teaching Quality Evaluation of Ideological and Political Courses in Colleges and Universities Based on Machine Learning by Journal of Mathematics

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Retracted: Optimal Scheduling Model of WDM/OTN Network Transmission Line Based on Machine Learning by Journal of Control Science and Engineering

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Retracted: The Evaluation of Music Teaching in Colleges and Universities Based on Machine Learning by Journal of Mathematics

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Retracted: The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning by Journal of Function Spaces

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Retracted: Computer Teaching System Based on Internet of Things and Machine Learning by Journal of Control Science and Engineering

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Retracted: Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning by Journal of Food Quality

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There is nothing medically magical about machine learning by Bowman, CE

Improving quality in cardiothoracic surgery: exploiting the untapped potential of machine learning by Orfanoudaki, A, Dearani, JA, Shahian, DM, Badhwar, V, Fernandez, F, Habib, R, Bowdish, ME, Bertsimas, D

Response to letter: “Applications of artificial intelligence (AI) in radiotherapy workflow: paradigm shift in precision radiotherapy using machine learning” by Gooding, M, Stride, E, Vallis, K

An Introduction to MCMC for Machine Learning by Andrieu, C, de Freitas, N, Doucet, A, Jordan, M

An introduction to MCMC for machine learning by Andrieu, C, de Freitas, N, Doucet, A, Jordan, M

MEMe: An accurate maximum entropy method for efficient approximations in large-scale machine learning by Granziol, D, Ru, B, Zohren, S, Dong, X, Osborne, M, Roberts, S

Inductive Principles for Restricted Boltzmann Machine Learning by Marlin, B, Swersky, K, Chen, B, de Freitas, N

Choosing among regularized estimators in empirical economics: the risk of machine learning by Kasy, M, Abadie, A

Predicting Critical Properties and Acentric Factors of Fluids Using Multitask Machine Learning by Biswas, Sayandeep, Chung, Yunsie, Ramirez, Josephine, Wu, Haoyang, Green, William H.

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Contrastive fairness in machine learning by Chakraborti, T, Patra, A, Noble, JA

Crystal nucleation in metallic alloys using x-ray radiography and machine learning by Liotti, E, Arteta, C, Zisserman, A, Lui, A, Lempitsky, V, Grant, P

Assignment of regioisomers using infrared spectroscopy: a Python coding exercise in data processing and machine learning by Cahill, ST, Young, JEB, Howe, M, Clark, R, Worrall, AF, Stewart, MI