Výsledky vyhľadávania - CART and Random tree Algorithm

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  1. 1

    Research on Impact of Children's Psychological Factors and Learning Habits on Tang Poetry Learning Based on CART Decision Tree and Random Forest Ensemble Learning Algorithm Autor Zhao, Wang, Ke, Zhao, Wang, Chang

    Vydavateľské údaje: IEEE 26.01.2024
    “…When children learn Tang poetry, differences in their mastery level of Tang poetry (MLTP) are observed. This difference may be related to children's age,…”
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  2. 2

    Personalized Risk Prediction in Clinical Oncology Research: Applications and Practical Issues Using Survival Trees and Random Forests Autor Hu, Chen, Steingrimsson, Jon Arni

    ISSN: 1054-3406, 1520-5711, 1520-5711
    Vydavateľské údaje: England Taylor & Francis 04.03.2018
    “…) algorithm, which builds a simple interpretable tree structured model. With the aim of increasing prediction accuracy, the random forest algorithm averages multiple CART trees, creating…”
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  3. 3

    Censoring Unbiased Regression Trees and Ensembles Autor Steingrimsson, Jon Arni, Diao, Liqun, Strawderman, Robert L.

    ISSN: 0162-1459, 1537-274X, 1537-274X
    Vydavateľské údaje: United States Taylor & Francis 02.01.2019
    “… Generalizations of the classification and regression trees (CART) and random forests (RF) algorithms for general loss functions, and in the latter case more general bootstrap procedures, are both introduced…”
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  4. 4

    Land subsidence modelling using tree-based machine learning algorithms Autor Rahmati, Omid, Falah, Fatemeh, Naghibi, Seyed Amir, Biggs, Trent, Soltani, Milad, Deo, Ravinesh C., Cerdà, Artemi, Mohammadi, Farnoush, Tien Bui, Dieu

    ISSN: 0048-9697, 1879-1026, 1879-1026
    Vydavateľské údaje: Netherlands Elsevier B.V 01.07.2019
    Vydané v The Science of the total environment (01.07.2019)
    “… This study compares four tree-based machine learning models for land subsidence hazard modelling at a study area in Hamadan plain (Iran…”
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  5. 5

    Comparison of decision tree algorithms for EMG signal classification using DWT Autor Gokgoz, Ercan, Subasi, Abdulhamit

    ISSN: 1746-8094
    Vydavateľské údaje: Elsevier Ltd 01.04.2015
    “…•Decision tree algorithms are used for EMG signal classification.•EMG signals are de-noised using MSPCA, and decomposed into the frequency sub-bands using DWT…”
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  6. 6

    Comparison of the performance of decision tree (DT) algorithms and extreme learning machine (ELM) model in the prediction of water quality of the Upper Green River watershed Autor Anmala, Jagadeesh, Turuganti, Venkateswarlu

    ISSN: 1554-7531, 1554-7531
    Vydavateľské údaje: United States 01.11.2021
    Vydané v Water environment research (01.11.2021)
    “…Stream waters play a crucial role in catering to the world's needs with the required quality of water. Due to the discharges of wastewater from the various…”
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  7. 7

    Fault Diagnosis Method of Photovoltaic Array Based on Random Forest Algorithm Autor Gong, Sizhe, Wu, Xunhao, Zhang, Ziwen

    ISSN: 1934-1768
    Vydavateľské údaje: Technical Committee on Control Theory, Chinese Association of Automation 01.07.2020
    Vydané v Chinese Control Conference (01.07.2020)
    “… The random forest algorithm used in this paper is based on classification regression tree (CART). And bootstrap sampling method was used to generate multiple training…”
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  8. 8

    Spatial performance analysis in basketball with CART, random forest and extremely randomized trees Autor Zuccolotto, Paola, Sandri, Marco, Manisera, Marica

    ISSN: 0254-5330, 1572-9338
    Vydavateľské údaje: New York Springer US 01.06.2023
    Vydané v Annals of operations research (01.06.2023)
    “… In order to overcome CART’s drawbacks while maintaining its points of force, we propose to resort to CART-based ensemble learning algorithms, namely to Random Forest and Extremely Randomized Trees, which are shown…”
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  9. 9

    Evaluating Combinations of Sentinel-2 Data and Machine-Learning Algorithms for Mangrove Mapping in West Africa Autor Mondal, Pinki, Liu, Xue, Fatoyinbo Agueh, Temilola E., Lagomasino, David

    ISSN: 2072-4292, 2072-4292
    Vydavateľské údaje: Goddard Space Flight Center MDPI 06.12.2019
    Vydané v Remote sensing (Basel, Switzerland) (06.12.2019)
    “…) to run two machine learning algorithms, random forest (RF), and classification and regression…”
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  10. 10

    Exploratory Data Mining Techniques (Decision Tree Models) for Examining the Impact of Internet-Based Cognitive Behavioral Therapy for Tinnitus: Machine Learning Approach Autor Rodrigo, Hansapani, Beukes, Eldré W, Andersson, Gerhard, Manchaiah, Vinaya

    ISSN: 1438-8871, 1439-4456, 1438-8871
    Vydavateľské údaje: Toronto Gunther Eysenbach MD MPH, Associate Professor 02.11.2021
    Vydané v Journal of medical Internet research (02.11.2021)
    “…Background: There is huge variability in the way that individuals with tinnitus respond to interventions. These experiential variations, together with a range…”
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    Identification of significant risks in pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) approach Autor Mahmood, Nasir, Shahid, Saman, Bakhshi, Taimur, Riaz, Sehar, Ghufran, Hafiz, Yaqoob, Muhammad

    ISSN: 0140-0118, 1741-0444, 1741-0444
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2020
    “…Pediatric acute lymphoblastic leukemia (ALL) through machine learning (ML) technique was analyzed to determine the significance of clinical and phenotypic…”
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  12. 12

    Exploring the integration of thermal imaging technology with the data mining algorithms for precise prediction of honey and beeswax yield Autor Kibar, Mustafa, Altay, Yasin, Aytekin, İbrahim

    ISSN: 1344-3941, 1740-0929, 1740-0929
    Vydavateľské údaje: Australia Blackwell Publishing Ltd 01.01.2024
    Vydané v Animal science journal (01.01.2024)
    “… ‐ and accurately predicting these yields. Therefore, this study aimed to predict HY and BWY using a classification and regression tree (CART…”
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  13. 13

    Analysis of anterior segment in primary angle closure suspect with deep learning models Autor Fu, Ziwei, Xi, Jinwei, Ji, Zhi, Zhang, Ruxue, Wang, Jianping, Shi, Rui, Pu, Xiaoli, Yu, Jingni, Xue, Fang, Liu, Jianrong, Wang, Yanrong, Zhong, Hua, Feng, Jun, Zhang, Min, He, Yuan

    ISSN: 1472-6947, 1472-6947
    Vydavateľské údaje: London BioMed Central 09.09.2024
    “… Then, AI-aided diagnostic system was constructed, which based different algorithms such as classification and regression tree (CART), random forest (RF…”
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  14. 14

    A novel student achievement prediction model based on bagging‐CART machine learning algorithm Autor Zhang, Hong

    ISSN: 1532-0626, 1532-0634
    Vydavateľské údaje: Hoboken Wiley Subscription Services, Inc 15.08.2024
    Vydané v Concurrency and computation (15.08.2024)
    “… C4.5, ID3, CART, J48, random forest, and others. However, few studies have explored the use of the Bagging algorithm in this field…”
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  15. 15

    Combined use of two supervised learning algorithms to model sea turtle behaviours from tri-axial acceleration data Autor Jeantet, L, Dell'Amico, F, Forin-Wiart, M-A, Coutant, M, Bonola, M, Etienne, D, Gresser, J, Regis, S, Lecerf, N, Lefebvre, F, de Thoisy, B, Le Maho, Y, Brucker, M, Châtelain, N, Laesser, R, Crenner, F, Handrich, Y, Wilson, R, Chevallier, D

    ISSN: 1477-9145, 1477-9145
    Vydavateľské údaje: England 23.05.2018
    Vydané v Journal of experimental biology (23.05.2018)
    “… We identified behaviours from the acceleration data using two different supervised learning algorithms, Random Forest and Classification And Regression Tree (CART…”
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  16. 16

    Machine Learning Classification of Mediterranean Forest Habitats in Google Earth Engine Based on Seasonal Sentinel-2 Time-Series and Input Image Composition Optimisation Autor Praticò, Salvatore, Solano, Francesco, Di Fazio, Salvatore, Modica, Giuseppe

    ISSN: 2072-4292, 2072-4292
    Vydavateľské údaje: Basel MDPI AG 07.02.2021
    Vydané v Remote sensing (Basel, Switzerland) (07.02.2021)
    “…The sustainable management of natural heritage is presently considered a global strategic issue. Owing to the ever-growing availability of free data and…”
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  17. 17

    Exploring the association between early childhood caries, malnutrition, and anemia by machine learning algorithm Autor Fasna, K., Khan, Saima Yunus, Ahmad, Ayesha, Sharma, Manoj Kumar

    ISSN: 0970-4388, 1998-3905, 1998-3905
    Vydavateľské údaje: India Wolters Kluwer - Medknow 2024
    “… Three machine learning algorithms (Random Tree, CART, and Neural Network) were applied to assess…”
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  18. 18

    9220 Machine Learning Methods In Differential Diagnosis Of Genetically Confirmed Multiple Endocrine Neoplasia Type 1 And Its Phenocopies Autor Trukhina, Diana, Voronov, Kirill, Mamedova, Elizaveta, Solodovnikov, Alexander, Belaya, Zhanna

    ISSN: 2472-1972, 2472-1972
    Vydavateľské údaje: US Oxford University Press 05.10.2024
    Vydané v Journal of the Endocrine Society (05.10.2024)
    “…). The goal of this study was to develop a machine learning algorithm to estimate the probability of gMEN-1 vs phMEN-1 based on easily available clinical features at first line differential diagnostics…”
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    7845 Machine Learning Methods In Differential Diagnosis Of Genetically Confirmed Multiple Endocrine Neoplasia Type 1 And Its Phenocopies Autor Trukhina, Diana, Voronov, Kirill, Mamedova, Elizaveta, Solodovnikov, Alexander, Belaya, Zhanna

    ISSN: 2472-1972, 2472-1972
    Vydavateľské údaje: US Oxford University Press 05.10.2024
    Vydané v Journal of the Endocrine Society (05.10.2024)
    “…).The goal of this study was to develop a machine learning algorithm to estimate the probability of gMEN-1 vs phMEN-1 based on easily available clinical features at first line differential diagnostics…”
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    B-mode Ultrasound Texture Recognition Algorithm of Liver Based on Random Forests Autor Li, Hongbin, Yang, Lihua, He, Taiping, Xiao, Yingcong, Liang, Zhonghua, Wu, Xiaoming

    Vydavateľské údaje: IEEE 17.10.2020
    “…With the advantages of non ionizing radiation, real-time imaging, multi-directional tomography and dynamic observation of blood flow, B-mode ultrasound has…”
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