A comparative study on the performance of covariance functions in gaussian process regression model : Application to global wheat price

Gaussian Process Regression (GPR) is a nonparametric machine learning model that provides uncertainty quantification in making predictions. GPR utilizes several covariance functions (CFs) in the process of developing models to ensure high accuracy. There are five common CFs in GPR, which are the Rad...

সম্পূর্ণ বিবরণ

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Nahamizun, Maamor, Hanita, Daud, Muhammad Naeim, Mohd Aris, Nor Izzati, Jaini, Mahmod, Othman, Evizal, Abdul Kadir
বিন্যাস: প্রবন্ধ
ভাষা:English
প্রকাশিত: Semarak Ilmu Publishing 2024
বিষয়গুলি:
অনলাইন ব্যবহার করুন:http://umpir.ump.edu.my/id/eprint/41357/1/A%20comparative%20study%20on%20the%20performance%20of%20covariance%20functions%20in%20gaussian.pdf