Search Results - Machine Learning Algorithms

Nowcasting GDP using machine-learning algorithms: A real-time assessment by Richardson, Adam, van Florenstein Mulder, Thomas, Vehbi, Tuğrul

“…Can machine-learning algorithms help central banks understand the current state of the economy…”
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How the machine ‘thinks’: Understanding opacity in machine learning algorithms by Burrell, Jenna

“… These mechanisms of classification all frequently rely on computational algorithms, and in many cases on machine learning algorithms to do this…”
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Application of machine learning algorithms in quality assurance of fermentation process of black tea-- based on electrical properties by Zhu, Hongkai, Liu, Fei, Ye, Yang, Chen, Lin, Liu, Jingyuan, Gui, Anhui, Zhang, Jianqiang, Dong, Chunwang

“…Fermentation process directly determines the product quality of black tea. This work aimed to develop a rapid method for detecting the degree of fermentation…”
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Reply to: ‘Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms’ and ‘Confounding factors need to be accounted for in assessing bias by machine learning algorithms’ by Seyyed-Kalantari, Laleh, Zhang, Haoran, McDermott, Matthew B. A., Chen, Irene Y., Ghassemi, Marzyeh

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Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy by Sengupta, Partho P, Huang, Yen-Min, Bansal, Manish, Ashrafi, Ali, Fisher, Matt, Shameer, Khader, Gall, Walt, Dudley, Joel T

“… Clinical and echocardiographic data of 50 patients with constrictive pericarditis and 44 with restrictive cardiomyopathy were used for developing an associative memory classifier-based machine-learning algorithm…”
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Using Machine Learning Algorithms to Predict People’s Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning Approach by Akour, Iman, Alshurideh, Muhammad, Al Kurdi, Barween, Al Ali, Amel, Salloum, Said

“…Mobile learning has become an essential instruction platform in many schools, colleges, universities, and various other educational institutions across the globe, as a result of the COVID-19 pandemic crisis…”
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Sinkhole susceptibility mapping: A comparison between Bayes‐based machine learning algorithms by Taheri, Kamal, Shahabi, Himan, Chapi, Kamran, Shirzadi, Ataollah, Gutiérrez, Francisco, Khosravi, Khabat

“…Land degradation has been recognized as one of the most adverse environmental impacts during the last century. The occurrence of sinkholes is increasing…”
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Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets by Wu, Zhenxing, Zhu, Minfeng, Kang, Yu, Leung, Elaine Lai-Han, Lei, Tailong, Shen, Chao, Jiang, Dejun, Wang, Zhe, Cao, Dongsheng, Hou, Tingjun

“…Abstract Although a wide variety of machine learning (ML) algorithms have been utilized to learn quantitative structure…”
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A comparative study of different machine learning algorithms in predicting EPB shield behaviour: a case study at the Xi’an metro, China by Bai, Xue-Dong, Cheng, Wen-Chieh, Li, Ge

“… In this study, a framework to develop machine learning (ML)-based regression models for predicting the behaviour of an earth pressure balance (EPB…”
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Applying Deep Learning and Machine Learning Algorithms to Estimate PM Concentration Using Satellite Data and Meteorological Data by Thapa, Ishwor, Devkota, Bidur, Lamichhane, Badri Raj, Devkota, Bhawana Poudel, Dhakal, Raju, Horanont, Teerayut

“…-formula> levels were estimated using meteorological data and Sentinel-5P air pollution data through machine learning algorithms…”
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Using machine learning for NEETs and sustainability studies: Determining best machine learning algorithms by Berigel, Muhammet, Boztaş, Gizem Dilan, Rocca, Antonella, Neagu, Gabriela

“…In this study, we apply and compare different algorithms from machine learning to describe and predict NEET rates in 31 European countries in the period from 2005 to 2020…”
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Elevating theoretical insight and predictive accuracy in business research: Combining PLS-SEM and selected machine learning algorithms by Richter, Nicole Franziska, Tudoran, Ana Alina

“…) with selected machine learning (ML) algorithms to exploit the two method’s causal-predictive and causal-exploratory capabilities…”
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Estimation of the vertical distribution of particle matter (PM 2.5 ) concentration and its transport flux from lidar measurements based on machine learning algorithms by Ma, Yingying, Zhu, Yang, Liu, Boming, Li, Hui, Jin, Shikuan, Zhang, Yiqun, Fan, Ruonan, Gong, Wei

“… Generally, the machine learning (ML) algorithms can input multiple features which may provide us with a new way to solve this constraint…”
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Insider threat detection using supervised machine learning algorithms: Insider threat detection using supervised machine learning algorithms by Manoharan, Phavithra, Yin, Jiao, Wang, Hua, Zhang, Yanchun, Ye, Wenjie

“… This paper aims to objectively assess the performance of various supervised machine learning algorithms for detecting insider threats under the same…”
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Identification of multi-element geochemical anomalies using unsupervised machine learning algorithms: A case study from Ag–Pb–Zn deposits in north-western Zhejiang, China by Wang, Jun, Zhou, Yongzhang, Xiao, Fan

“… Therefore, machine learning algorithms for anomaly detection are suitable for identification of mineralization-related geochemical anomalies…”
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Predictive ability of current machine learning algorithms for type 2 diabetes mellitus: A meta‐analysis by Kodama, Satoru, Fujihara, Kazuya, Horikawa, Chika, Kitazawa, Masaru, Iwanaga, Midori, Kato, Kiminori, Watanabe, Kenichi, Nakagawa, Yoshimi, Matsuzaka, Takashi, Shimano, Hitoshi, Sone, Hirohito

“…Aims/Introduction Recently, an increasing number of cohort studies have suggested using machine learning (ML) to predict type 2 diabetes mellitus…”
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Classification and prediction of protein–protein interaction interface using machine learning algorithm by Das, Subhrangshu, Chakrabarti, Saikat

“…Structural insight of the protein–protein interaction (PPI) interface can provide knowledge about the kinetics, thermodynamics and molecular functions of the…”
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China's inflation forecasting in a data-rich environment: based on machine learning algorithms by Huang, Naijing, Qi, Yuqing, Xia, Jie

“… Specifically, we compile a large panel of China's monthly macroeconomic and financial variables, employing various machine learning models on this predictor panel to forecast China's inflation…”
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Constraints on cubic and f(P) gravity from the cosmic chronometers, BAO & CMB datasets: Use of machine learning algorithms by Giri, Kinsuk, Rudra, Prabir

“… We have used the Markov chain Monte Carlo algorithm to obtain bounds for the free parameters…”
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Future Precipitation Change in West Africa Using NEX‐GDDP‐CMIP6 Models Based on Multiple Machine Learning Algorithms by Dioha, Emmanuel C., Chung, Eun‐Sung, Ayugi, Brian Odhiambo, Babaousmail, Hassen

“…‐GDDP CMIP6 and based on five machine learning (ML) algorithms. Changes in precipitation are important for policy makers and researchers to better understand the effects and impacts of climate change…”
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