Open Access
Issue |
ITM Web Conf.
Volume 71, 2025
International Conference on Mathematics, its Applications and Mathematics Education (ICMAME 2024)
|
|
---|---|---|
Article Number | 01015 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/itmconf/20257101015 | |
Published online | 06 February 2025 |
- Badan Pusat Statistik, 2022. Distribusi Perdagangan Komoditas Daging Ayam Ras di Indonesia, Available at: https://www.bps.go.id/id/publication/2022/10/24/55caab2238cf10197854af46/distribusi-perdagangan-komoditas-daging-ayam-ras-di-indonesia-2022.html [Google Scholar]
- E. Damayanti, 2020. Closed House Mini Banyak Diminati. Poultry Indonesia. Available at: https://www.poultryindonesia.com/id/closed-house-mini-banyak-diminati/ [Google Scholar]
- P.T. CPI, Teknis Manajemen Closed House, (PT Charoen Pokphand Indonesia, Tbk., Jakarta, 2018) [Google Scholar]
- T. Chen, C. Guestrin, XGBoost: A Scalable Tree Boosting System, in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Daa Mining, San Francisco, California, USA, August 13 (2016), 785–794. [Google Scholar]
- R.S. Olson, W.L. Cava, Z. Mustahsan, A. Varik, J.H. Moore, Data-driven Advice for Applying Machine Learning to Bioinformatics Problems, in Proceedings of the Pacific Symposium on Biocomputing, Fairmont Orchid, Hawaii, USA, January 3 – 7 (2018). https://doi.org/10.48550/arXiv.1708.05070 [Google Scholar]
- L. Owen, Hyperparameter Tuning with Python, (Packt Publishing Ltd., Birmingham, 2022) [Google Scholar]
- C. Wade, Hands-On Gradient Boosting with XGBoost and scikit-learn, (Packt Publishing Ltd., Birmingham, 2020) [Google Scholar]
- G. Kunapuli, Ensemble Methods for Machine Learning, (Manning, Shelter Island, 2023) [Google Scholar]
- J. Bergstra, Y. Bengio, Random Search for Hyper-Parameter Optimization, J. Machine Learning Research. 13, 281–305 (2012). https://www.jmlr.org/papers/volume13/bergstra12a/bergstra12a.pdf [MathSciNet] [Google Scholar]
- K.P. Murphy, Probabilistic Machine Learning, (The MIT Press, Cambridge, 2022) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.