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    Stochastic parallel extreme artificial hydrocarbon networks : an implementation for fast and robust supervised machine learning in high-dimensional data 

    Ponce, Hiram; González Mora, José Guillermo (Elsevier Ltd., 2020-03)
    Artificial hydrocarbon networks (AHN) – a supervised learning method inspired on organic chemical structures and mechanisms – have shown improvements in predictive power and interpretability in comparison with other ...
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    Versatility of artificial hydrocarbon networks for supervised learning 

    Ponce, Hiram; Martinez-Villaseñor, Lourdes (Springer Verlag, 2019)
    Surveys on supervised machine show that each technique has strengths and weaknesses that make each of them more suitable for a particular domain or learning task. No technique is capable to tackle every supervised learning ...

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    AuthorHIRAM EREDIN PONCE ESPINOSA;376768 (2)Ponce, Hiram (2)González Mora, José Guillermo (1)Martinez-Villaseñor, Lourdes (1)MARÍA DE LOURDES GUADALUPE MARTÍNEZ VILLASEÑOR;241561 (1)SubjectHydrocarbons (2)
    Ingeniería (2)
    INGENIERÍA Y TECNOLOGÍA (2)Learning systems (2)
    Machine learning (2)
    Supervised learning (2)
    Supervised learning methods (2)
    Artificial intelligence (1)Artificial organic networks (1)Big data (1)... View MoreDate Issued2019 (1)2020 (1)Has File(s)false (2)

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