Showing 101 - 120 results of 861 for search '(( Random binary tree ) OR ( Random binary three ))', query time: 0.20s Refine Results
  1. 101

    A Novel Local Binary Patterns-Based Approach and Proposed CNN Model to Diagnose Breast Cancer by Analyzing Histopathology Images by Mehmet Gul

    Published 2025-01-01
    “…The histopathology images improved with the QS-LBP method were then analyzed with the most commonly used Random Forest and Optimized Forest algorithms among machine learning algorithms. …”
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    Perbandingan Kerja Binomial GLMM Tree dan BIMM Forest untuk Memodelkan Status Bekerja Penduduk by Dwi Agustin Nuriani Sirodj, Khairil Anwar Notodiputro, Bagus Sartono

    Published 2024-02-01
    “…Selanjutnya metode alternatif lainnya adalah Binary Mixed Model (BiMM) Forest yang menggabungkan prinsip kerja Bayesian GLMM dan Random Forest. …”
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    Gender roles in agroforestry value chains: evidence from fruit tree-based agroforestry in Dodota district, Ethiopia by Kidist Kassaye, Getahun Kassa, Getahun Kassa, Abera Tilahun Abdi, Abera Tilahun Abdi

    Published 2025-05-01
    “…Despite the economic significance of fruit tree-based agroforestry in Ethiopia, gender considerations throughout the value chain activities are still underexplored. …”
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  6. 106

    Three-Phase Confusion Learning by Filippo Caleca, Simone Tibaldi, Elisa Ercolessi

    Published 2025-02-01
    “…Our construction relies on the use of a slightly different Neural Network: from a binary classifier, we move to a ternary one, which is more suitable to detect systems exhibiting three phases. …”
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    Response of Olive Trees (Olea europaea L.) cv. Zaity to Bio health and Foliar Spray of Tecamin max and Boron by Araz Siyar Faris, Shaymaa Mahfodh Abdulqader

    Published 2024-03-01
    “…A factorial experiment with three replications was carried out in a randomized complete block design (RCBD), using one tree for each experimental unit. …”
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    Wake-up timer and binary exponential backoff for ZigBee-based wireless sensor network for flexible movement control system of a self-lifting scaffold by Hua Liang, Guangxiang Yang, Ye Xu, Iqbal Gondal, Chao Wu

    Published 2016-09-01
    “…The variant binary exponential backoff algorithm reduces packet collisions during simultaneous access by increasing the randomizing moments at nodes attempting to access the wireless channels. …”
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    Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and machine learning technique... by Balamurugan Shandhana Rashmi, Sankaran Marisamynathan

    Published 2024-12-01
    “…While conventional statistical methods like binary logit technique lacked prediction capabilities, machine learning (ML) algorithms including decision tree (DT), random forest (RF), adaptive boosting (AdaBoost), and extreme gradient boosting (XGBoost) were employed to model speeding behavior among LHTDs. …”
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  18. 118

    Navigating Mendelian Randomization in Sleep Medicine: Challenges, Opportunities, and Best Practices by BaHammam AS, Jahrami H

    Published 2024-11-01
    “…Ahmed S BaHammam,1,2 Haitham Jahrami3,4 1The University Sleep Disorders Center, Department of Medicine, College of Medicine, King Saud University, Riyadh, Saudi Arabia; 2King Saud University Medical City, King Saud University, Riyadh, Saudi Arabia; 3Department of Psychiatry, Government Hospitals, Manama, Bahrain; 4Department of Psychiatry, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, BahrainCorrespondence: Ahmed S BaHammam, Department of Medicine, College of Medicine, University Sleep Disorders Center, King Saud University, Box 225503, Riyadh, 11324, Saudi Arabia, Tel +966-11-467-9495, Fax +966-11-467-9179, Email ashammam2@gmail.comAbstract: Mendelian randomization (MR) has become an influential method for elucidating causal links between sleep traits and disorders, and health outcomes. …”
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  19. 119

    Bernoulli trials and permutation statistics by Don Rawlings

    Published 1992-01-01
    “…The distributions of a general class of random variables known as binary tree statistics are also given.…”
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