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Showing 1 - 14 results of 14 for search '(( algorithm python function ) OR ((( algorithm tree functional ) OR ( algorithm fc function ))))', query time: 0.10s Refine Results
  1. 1
    Learning continuous functions using decision tree learning algorithms

    Learning continuous functions using decision tree learning algorithms by Ibrahim, Ahmed Esmat Mahmoud

    Published 2001
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  2. 2
    Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994)

    Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) by Kawash, Jalal Y.

    Published 1994
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  3. 3
    Properties of simulated annealing and genetic algorithms for mapping data to multicomputers

    Properties of simulated annealing and genetic algorithms for mapping data to multicomputers by Mansour, Nashat

    Published 1997
    “…We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. …”
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  4. 4
    An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure

    An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure by Mouna Rabhi (17086969)

    Published 2024
    “…<p>In this paper, we provide a novel failure-resilient token-based mutual exclusion (ME) algorithm for distributed systems. Like a few other solutions in the literature, the proposed solution leverages a logical tree as its underlying topology. …”
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  5. 5
    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

    Published 2022
    “…In the next phase, an IRF eliminates the less significant attributes, incorporates a list of decision trees across each iterative process, supervises the classifier’s performance, and prevents overfitting issues. …”
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  6. 6
    Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces

    Determining the Factors Affecting the Boiling Heat Transfer Coefficient of Sintered Coated Porous Surfaces by Uzair Sajjad (19646296)

    Published 2021
    “…In this regard, two Bayesian optimization algorithms including Gaussian process regression (GPR) and gradient boosting regression trees (GBRT) are used for tuning the hyper-parameters (number of input and dense nodes, number of dense layers, activation function, batch size, Adam decay, and learning rate) of the deep neural network. …”
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  7. 7
    Android Malware Detection Using Machine Learning

    Android Malware Detection Using Machine Learning by Al Ali, Shaikha

    Published 2024
    “…In this work, several machine learning algorithms were utilized, namely k-Nearest neighbor (KNN), Decision Trees (DT), Naive Bayes (NB), Support Vector Machine (SVM) and other ensemble classifiers including Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LGBM) and CatBoost. …”
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  8. 8
    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying

    Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying by Tekli, Joe

    Published 2023
    “…Dedicated weighting functions and various search algorithms have been developed for that purpose and will be presented here. …”
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  9. 9
    Common weaving approach in mainstream languages for software security hardening

    Common weaving approach in mainstream languages for software security hardening by Alhadidi, Dima

    Published 2013
    “…In this paper, we propose a novel aspect-oriented approach based on GIMPLE, a language-independent and a tree-based representation generated by the GNU Compiler Collection (GCC), for the systemization of application security hardening. …”
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  10. 10
    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks

    Traffic Offloading with Channel Allocation in Cache-Enabled Ultra-Dense Wireless Networks by Abbas, Nadine

    Published 2018
    “…We also propose efficient sub-optimal hierarchical tree-based algorithms that operate in real time with dynamic and fast solutions for ultra dense networks. …”
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  11. 11
    Single-Cell Transcriptome Analysis Highlights a Role for Neutrophils and Inflammatory Macrophages in the Pathogenesis of Severe COVID-19

    Single-Cell Transcriptome Analysis Highlights a Role for Neutrophils and Inflammatory Macrophages in the Pathogenesis of Severe COVID-19 by Hibah Shaath (5599658)

    Published 2020
    “…Further analyses revealed genes associated with the inflammatory response and chemotaxis of myeloid cells, phagocytes, and granulocytes, among the top activated functional categories in BAL from severe COVID-19-affected patients. …”
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  12. 12
    The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability

    The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability by Abd-El-barr, Mostafa

    Published 2003
    “…A fault tolerant network is able to function even in the presence of some faults in the network. …”
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  13. 13
    Machine Learning Model for a Sustainable Drilling Process

    Machine Learning Model for a Sustainable Drilling Process by Alsaidi, Ola

    Published 2023
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  14. 14
    Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation

    Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation by Jahed, Karim

    Published 2016
    “…The key novel characteristics of our system include seamless neighbor discovery and link quality estimation, intelligent clustering and channel allocation algorithms based on constrained minimum spanning trees, robustness against device mobility, and device centric operation with no changes to existing wireless systems. …”
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