Results 1 to 10 of about 13,565 (211)
Review of Random Survival Forest method
Journal of Biostatistics and Epidemiology, 2020 Background: Over the past years, there has been a great deal of interest in applying statistical machine learning methods to survival analysis. Ensemble-based methods, especially random survival forest, have been developed in various fields, especially ...
Majid Rezaei +4 more
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An Ensemble Model for Co-Seismic Landslide Susceptibility Using GIS and Random Forest Method
ISPRS International Journal of Geo-Information, 2017 The Mw 7.8 Gorkha earthquake of 25 April 2015 triggered thousands of landslides in the central part of the Nepal Himalayas. The main goal of this study was to generate an ensemble-based map of co-seismic landslide susceptibility in Sindhupalchowk ...
Suchita Shrestha +2 more
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Research on stock trend prediction method based on optimized random forest
CAAI Transactions on Intelligence Technology, 2023 As a complex hot problem in the financial field, stock trend forecasting uses a large amount of data and many related indicators; hence it is difficult to obtain sustainable and effective results only by relying on empirical analysis.
Lili Yin +3 more
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An Adaptive Test Method of IC Based on Random Forest [PDF]
Zhengzhou Daxue xuebao. Gongxue ban, 2021 An adaptive test method based on random forest was proposed to solve the problem of high test cost caused by increasing test time.For the chip of the training model,by calculating the Gini index,the importance of each test group to the model ...
Yi Maoxiang +5 more
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Analysis of Stroke Classification Using Random Forest Method
Ilkom Jurnal Ilmiah, 2022 Stroke is a disease in which the sufferer experiences or experiences a rupture of a blood vessel in the brain so that the brain does not get a blood supply that provides oxygen.
Muhammad Firdaus Banjar +3 more
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Sentiment Analysis With Sarcasm Detection On Politician’s Instagram
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2021 Sarcasm is one of the problem that affect the result of sentiment analysis. According to Maynard and Greenwood (2014), performance of sentiment analysis can be improved when sarcasm also identified. Some research used Naïve Bayes and Random Forest method
Aisyah Muhaddisi +2 more
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Hybrid Weighted Random Forests Method for Prediction & Classification of Online Buying Customers [PDF]
Journal of Information Technology Management, 2021 Due to enchantment in network technology, the worldwide numbers of internet users are growing rapidly. Most of the internet users are using online purchasing from various sites.
Umesh Kumar Lilhore +3 more
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Speech Personality Prediction Method Based on Random Forest [PDF]
Jisuanji gongcheng, 2017 In order to improve the prediction accuracy of speech personality,this paper proposes a method of speech personality prediction based on random forest model.The candidate prosodic feature set for speech personality prediction is selected,and the prosodic
ZHANG Xixiang,ZHAO Huan
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Applying the Random Forest Method to Improve Burner Efficiency
Mathematics, 2022 Fuel power plants are one of the main sources of pollutant emissions, so special attention should be paid to improving the efficiency of the fuel combustion process.
Vladislav Kovalnogov +5 more
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A Random Forest-Based Method for Predicting Borehole Trajectories
Mathematics, 2023 Drilling trajectory control technology for near-horizontal directional drilling in coal mines is mainly determined empirically by manual skew data, and the empirical results are only qualitative and variable, meanwhile possessing great instability and ...
Baoyong Yan +5 more
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