Výsledky vyhledávání - improved tree machine algorithm

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  1. 1

    Forecasting short-term electric load using extreme learning machine with improved tree seed algorithm based on Lévy flight Autor Chen, Xuan, Przystupa, Krzysztof, Ye, Zhiwei, Chen, Feng, Wang, Chunzhi, Liu, Jinhang, Gao, Rong, Wei, Ming, Kochan, Orest

    ISSN: 1507-2711, 2956-3860
    Vydáno: 01.01.2022
    Vydáno v Eksploatacja i niezawodność (01.01.2022)
    “… In this paper, a hybrid method, composed of kernel principal component analysis (KPCA), tree seed algorithm based on Lévy flight (LTSA…”
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  2. 2

    Battery SOH estimation based on decision tree and improved support vector machine regression algorithm Autor Qian, Lijun, Xuan, Liang, Chen, Jian

    ISSN: 2296-598X, 2296-598X
    Vydáno: Frontiers Media S.A 21.06.2023
    Vydáno v Frontiers in energy research (21.06.2023)
    “…) of the United States. Based on the obtained feature samples, a decision tree algorithm is used to analyze them and obtain the importance of each feature…”
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  3. 3

    Application of Improved Classification Algorithm with Binary Tree Support Vector Machine in Power Grid Prediction Autor Chen, Yingjun

    ISSN: 1742-6588, 1742-6596
    Vydáno: Bristol IOP Publishing 01.10.2024
    Vydáno v Journal of physics. Conference series (01.10.2024)
    “…To further improve the accuracy of the power grid prediction, the paper proposes an improved binary tree classification algorithm with the SVM and predicts the real time power grid…”
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  4. 4

    Improved tree-based machine learning algorithms combining with bagging strategy for landslide susceptibility modeling Autor Zhang, Tingyu, Quevedo, Renata Pacheco, Wang, Huanyuan, Fu, Quan, Luo, Dan, Wang, Tao, de Oliveira, Guilherme Garcia, Guasselli, Laurindo Antonio, Renno, Camilo Daleles

    ISSN: 1866-7511, 1866-7538
    Vydáno: Cham Springer International Publishing 01.01.2022
    Vydáno v Arabian journal of geosciences (01.01.2022)
    “… Based on the GIS platform, three hybrid tree-based models, namely decision tree (DT), logistic model tree (LMT…”
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  5. 5

    Virtual Machine Consolidation Algorithm Based on Decision Tree and Improved Q-learning by Uniform Distribution Autor SHI Liang, WEN Liangming, LEI Sheng, LI Jianhui

    ISSN: 1002-137X
    Vydáno: Editorial office of Computer Science 01.06.2023
    Vydáno v Ji suan ji ke xue (01.06.2023)
    “… algorithm becomes increasingly prominent.Therefore,this paper proposes DTQL-UD,a virtual machine consolidation algorithm based on decision tree and improved Q-learning by uniform…”
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  6. 6

    Prediction of Heart Disease using Forest Algorithm over Decision Tree using Machine Learning with Improved Accuracy Autor Raj, K N S Shanmukha, Thinakaran, K

    ISSN: 2304-7232
    Vydáno: Moscow Russian New University 01.12.2022
    Vydáno v Cardiometry (01.12.2022)
    “… Methods and Materials: Anticipating coronary illness expectation was completed utilising machine learning calculations, for example, Forest Algorithm and Decision tree…”
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  7. 7

    Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor using Decision Tree Algorithm over Support Vector Machine Algorithm with Improved Accuracy Autor Srinivasulureddy, Ch, Kumar, Neelam Sanjeev, Binu, V S

    ISSN: 2304-7232
    Vydáno: Moscow Russian New University 01.12.2022
    Vydáno v Cardiometry (01.12.2022)
    “…) and Support vector machine (SVM) algorithms and compare their efficiency in detecting breast cancer tumors…”
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  8. 8

    Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Decision Tree Algorithm over the Support Vector Machine Algorithm with Improved Accuracy Autor Charan, Garudadri Venkata Sree, Kumar, Neelam Sanjeev

    ISSN: 2304-7232
    Vydáno: Moscow Russian New University 01.12.2022
    Vydáno v Cardiometry (01.12.2022)
    “…) for the Decision tree and GROUP 2 (N=20) for the Support Vector Machine (SVM) in accordance with the total sample size calculated using…”
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  9. 9

    An Improved Decision Tree Algorithm Based on Support Vector Machine for Medical Data Analysis Autor Zhixiu, Zhang, Zhixiang, Lu

    Vydáno: IEEE 27.05.2022
    “… The suggested model will be utilized to analyze drug research data for prediction in this work, and it will be based on support vector machines and decision tree techniques…”
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  10. 10

    Determination of total phosphorus concentration in water by using visible-near-infrared spectroscopy with machine learning algorithm Autor Wang, Na, Xie, Leiying, Zuo, Yi, Wang, Shaowei

    ISSN: 1614-7499, 0944-1344, 1614-7499
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2023
    “… We proposed a rapid, highly sensitive, and pollution-free approach that combines spectroscopy with a machine learning algorithm we improved called synergy interval Extra-Trees regression (siETR…”
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    Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot Autor Song, Qisong, Li, Shaobo, Yang, Jing, Bai, Qiang, Hu, Jianjun, Zhang, Xingxing, Zhang, Ansi

    ISSN: 1687-5265, 1687-5273, 1687-5273
    Vydáno: New York Hindawi 2021
    “…) algorithms, an improved smooth rapidly exploring random tree (S-RRT) algorithm, and an improved hybrid genetic algorithm-ant colony optimization (HGA-ACO…”
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  12. 12

    Tree species information extraction of farmland returned to forests based on improved support vector machine algorithm Autor Wu, Jian, Peng, Dao-Li

    ISSN: 1000-0593
    Vydáno: China 01.04.2011
    Vydáno v Guang pu xue yu guang pu fen xi (01.04.2011)
    “… Afterwards, the information of tree species was extracted using improved support vector machine algorithm…”
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  13. 13

    A Novel Scheme for Mapping of MVT-Type Pb–Zn Prospectivity: LightGBM, a Highly Efficient Gradient Boosting Decision Tree Machine Learning Algorithm Autor Hajihosseinlou, Mahsa, Maghsoudi, Abbas, Ghezelbash, Reza

    ISSN: 1520-7439, 1573-8981
    Vydáno: New York Springer US 01.12.2023
    “…The gradient boosting decision tree is a well-known machine learning algorithm. Despite numerous advancements in its application, its efficiency still needs to be improved for large feature dimensions and data capacities…”
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  14. 14

    Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data Autor Wang, Jiali, Chen, Jia

    ISSN: 2520-8942, 2520-8942
    Vydáno: Cham Springer International Publishing 01.12.2024
    Vydáno v Energy Informatics (01.12.2024)
    “…). Finally, three improved Boosting algorithms were proposed, namely Light Gradient Boosting Machine (LightGBM…”
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    Hybrid Metaheuristic Optimization Algorithms with Least-Squares Support Vector Machine and Boosted Regression Tree Models for Prediction of Air-Blast Due to Mine Blasting Autor Ding, Xiaohua, Hasanipanah, Mahdi, Ulrikh, Dmitrii Vladimirovich

    ISSN: 1520-7439, 1573-8981
    Vydáno: New York Springer US 01.06.2024
    “… The developed models were constructed based on the boosted regression tree (BRT) and least-squares support vector machine (LSSVM…”
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  16. 16

    A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis Autor Omotehinwa, Temidayo Oluwatosin, Oyewola, David Opeoluwa, Dada, Emmanuel Gbenga

    ISSN: 2772-4425, 2772-4425
    Vydáno: Elsevier Inc 01.12.2023
    Vydáno v Healthcare analytics (New York, N.Y.) (01.12.2023)
    “… This study proposed using the Light Gradient-Boosting Machine (LightGBM) algorithm, Borderline- Synthetic Minority Oversampling Technique (SMOTE…”
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    Machine learning classification of texture features of MRI breast tumor and peri-tumor of combined pre- and early treatment predicts pathologic complete response Autor Hussain, Lal, Huang, Pauline, Nguyen, Tony, Lone, Kashif J., Ali, Amjad, Khan, Muhammad Salman, Li, Haifang, Suh, Doug Young, Duong, Tim Q.

    ISSN: 1475-925X, 1475-925X
    Vydáno: London BioMed Central 28.06.2021
    Vydáno v Biomedical engineering online (28.06.2021)
    “…Purpose This study used machine learning classification of texture features from MRI of breast tumor and peri-tumor at multiple treatment time points in conjunction with molecular subtypes to predict…”
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    UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning Autor Charoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md Mehedi, Moni, Mohammad Ali, Manavalan, Balachandran, Shoombuatong, Watshara

    ISSN: 1422-0067, 1661-6596, 1422-0067
    Vydáno: Switzerland MDPI AG 04.12.2021
    “… We combined six well-known machine learning algorithms (extremely randomized trees…”
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    BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm Autor Abbas, Shafaq, Jalil, Zunera, Javed, Abdul Rehman, Batool, Iqra, Khan, Mohammad Zubair, Noorwali, Abdulfattah, Gadekallu, Thippa Reddy, Akbar, Aqsa

    ISSN: 2376-5992, 2376-5992
    Vydáno: United States PeerJ. Ltd 12.03.2021
    Vydáno v PeerJ. Computer science (12.03.2021)
    “… Machine learning algorithms have proven to outperform all existing solutions for the prediction of breast cancer using models built on the previously available data…”
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    Estimating Forest Structure from UAV-Mounted LiDAR Point Cloud Using Machine Learning Autor Neuville, Romain, Bates, Jordan Steven, Jonard, François

    ISSN: 2072-4292, 2072-4292
    Vydáno: MDPI AG 20.01.2021
    Vydáno v Remote sensing (Basel, Switzerland) (20.01.2021)
    “… For example, tree stems can now be captured with sufficient detail, which is a gateway to accurately locating trees and directly retrieving metrics—e.g…”
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