In recent years, facial expression recognition has received much attention due to its wide application in various fields, including human-computer interaction, emotion analysis, and facial biometrics. Developing accurate and robust facial expression recognition models is essential to achieve reliable results. This article discusses the importance of optimizing facial expression recognition models and the role of gradient boosting in model optimization. In addition, hyperparameter tuning, regularization methods, data augmentation, transfer learning, and performance metrics are discussed that contribute to the optimization process
| Mualliflar | Asrayev , Muhammadmullo, Kurbanov , Abduraxmon, Fayziyev , Voxid |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashriyot | ТАТУ Фарғона филиали |
| ISSN | 2181-4252 |
| Nashr sanasi | 2024-03-25 |
| Jild | 1 |
| Son | 1 |
| Betlar | 116-122 |
| Til | Ingliz |
| Ilmiy soha | Texnika |
| Indeksga qo‘shilgan | 2026-08-26 |
Gradient Boosting, Neural network architecture, Optimization algorithms, Cross-validation, Grid search, Random search, Early stopping, , L1 regularization, Gradientni kuchaytirish, Neyron tarmog‘i arxitekturasi, Optimallashtirish algoritmlari, O‘zaro tekshirish
| APA | Asrayev , Muhammadmullo, Kurbanov , Abduraxmon, & Fayziyev , Voxid (2024). OPTIMIZATION OF FACIAL EXPRESSION MODELS: GRADIENT ENHANCEMENT AND ITS SIGNIFICANCE IN HYPERPARAMETER ADJUSTMENT AND REGULARIZATION. Al-Farg'oniy avlodlari, 1(1), 116-122. https://al-fargoniy.uz/index.php/journal/article/view/288 |
|---|---|
| GOST (OAK) | Asrayev , Muhammadmullo, Kurbanov , Abduraxmon, Fayziyev , Voxid OPTIMIZATION OF FACIAL EXPRESSION MODELS: GRADIENT ENHANCEMENT AND ITS SIGNIFICANCE IN HYPERPARAMETER ADJUSTMENT AND REGULARIZATION // Al-Farg'oniy avlodlari. – 2024. – T. 1, № 1. – P. 116-122. |
| MLA | Asrayev , Muhammadmullo, Kurbanov , Abduraxmon, and Fayziyev , Voxid. “OPTIMIZATION OF FACIAL EXPRESSION MODELS: GRADIENT ENHANCEMENT AND ITS SIGNIFICANCE IN HYPERPARAMETER ADJUSTMENT AND REGULARIZATION.” Al-Farg'oniy avlodlari, 1(1), 116-122, 2024. https://al-fargoniy.uz/index.php/journal/article/view/288 |
| Chicago | Asrayev , Muhammadmullo, Kurbanov , Abduraxmon, and Fayziyev , Voxid. “OPTIMIZATION OF FACIAL EXPRESSION MODELS: GRADIENT ENHANCEMENT AND ITS SIGNIFICANCE IN HYPERPARAMETER ADJUSTMENT AND REGULARIZATION.” Al-Farg'oniy avlodlari, 1(1), 116-122 (2024). https://al-fargoniy.uz/index.php/journal/article/view/288 |
| Harvard | Asrayev , Muhammadmullo, Kurbanov , Abduraxmon, and Fayziyev , Voxid (2024) ‘OPTIMIZATION OF FACIAL EXPRESSION MODELS: GRADIENT ENHANCEMENT AND ITS SIGNIFICANCE IN HYPERPARAMETER ADJUSTMENT AND REGULARIZATION’, Al-Farg'oniy avlodlari, 1(1), 116-122. https://al-fargoniy.uz/index.php/journal/article/view/288 |
| BibTeX | @article{asrayevmuhammadmullo2024,
title = {OPTIMIZATION OF FACIAL EXPRESSION MODELS: GRADIENT ENHANCEMENT AND ITS SIGNIFICANCE IN HYPERPARAMETER ADJUSTMENT AND REGULARIZATION},
author = {Asrayev , Muhammadmullo and Kurbanov , Abduraxmon and Fayziyev , Voxid},
journal = {Al-Farg'oniy avlodlari},
year = {2024},
volume = {1},
number = {1},
pages = {116-122},
url = {https://al-fargoniy.uz/index.php/journal/article/view/288}
} |
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