Results 21 to 30 of about 2,559 (181)
Hyperparameter Tuning with Optuna to optimize the YOLOv11n Model for Weed Detection
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Accurate weed detection is essential for maintaining the cleanliness and aesthetic appeal of residential yards. This study aimed to optimize YOLOv11n, a lightweight object detection model, to achieve high precision in weed identification under real-world
Candhy Fadhila Arsyad +2 more
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Optimizing Multilayer Perceptron for Car Purchase Prediction with GridSearch and Optuna
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Multilayer Perceptron (MLP) is a powerful machine learning algorithm capable of modeling complex, non-linear relationships, making it suitable for predicting car purchasing power. However, its performance depends on hyperparameter tuning and data quality.
Ginanti Riski, Dedy Hartama, Solikhun
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Applied Sciences (Switzerland)In order to solve the problem of the poor adaptability of the TBM digging process to changes in geological conditions, a new TBM digging model is proposed.
Kebin Shi, Renyi Shi, Jianming Zhang
exaly +3 more sources
IEEE AccessIn order to provide safe development of road freight traffic, this paper proposes a truck driving risk identification method based on Optuna optimization of machine learning model.
Zhaofei Wang, Qiuping Wang, Hao Li
exaly +3 more sources
Federated Hyperparameter Optimisation with Flower and Optuna
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023 Federated learning (FL) is an emerging distributed machine learning technique in which multiple clients collaborate to learn a model under the management of a central server. An FL system depends on a set of initial conditions (i.e., hyperparameters) that affect the system's performance.
Juan Marcelo Parra Ullauri +4 more
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Optuna: Finding the optimal hyperparameters
, 2023 Application of Optuna to find the optimal hyperparameters for transfer learning or fine tuning the pre-trained models This code was used to find best hyperparameters to classify MS and Normal cases using SLO images. However it can be used in any other application.
Aghababaei Ali +2 more
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Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019 The purpose of this study is to introduce new design-criteria for next-generation hyperparameter optimization software. The criteria we propose include (1) define-by-run API that allows users to construct the parameter search space dynamically, (2) efficient implementation of both searching and pruning strategies, and (3) easy-to-setup, versatile ...
Takuya Akiba +4 more
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Hyperparameter Tuning for Address Validation using Optuna
WSEAS TRANSACTIONS ON COMPUTER RESEARCH, 2023 Public institutions generally share personal information on their websites. That allows the possibility to find personal information when performing internet searches quickly. However, the personal information that is on the internet is not always accurate and can lead to misunderstandings and ambiguity concerning the accessible postal address ...
openaire +3 more sources
Journal of Electrical Engineering and ComputerAutomatic classification of tomato ripeness plays a crucial role in ensuring post-harvest quality and efficiency in the horticultural industry. This study proposes a combined strategy of Knowledge Distillation (KD) and hyperparameter optimization using ...
Iasya Sholihin, Andi Sunyoto
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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Mental health issues among college students are receiving increasing attention, particularly because of academic and social pressures and the impact of technology use.
Muhardi +3 more
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