چکیده مقاله
Semi parametric regression models combine elements of parametric and non parametric regression approaches Lasso regression, a penalized parametric regression technique, introduces a penalty term to the regression equation to enhance model performance Regression tree models, a non parametric approach, partition the data into subsets and build separate models for each subset By combining these techniques, semi parametric regression models can capture both linear and non linear relationships in the data, providing a powerful tool for addressing complex regression problems
کلیدواژهها
نویسندگان
Mohammadreza Khalvati Fahliayni
Department of Computer Engineering, Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University,Bushehr, Iran
Hamid KaramiKabir
Department of Statistics, Faculty of Intelligent Systems Engineering and Data Science, Persian Gulf University, Bushehr, Iran
شیوه ارجاع
Khalvati Fahliayni, Mohammadreza and KaramiKabir, Hamid,1403,Semi parametric tress shrinkage regression,1st International Biennial Conference of Artificial Intelligence and Data Science 2024,Bushehr
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی دوسالانه هوش مصنوعی و علوم داده3 اردیبهشت 1403 · بوشهر