Results 171 to 180 of about 4,028 (199)

Scaling Up Optuna: P2P Distributed Hyperparameters Optimization

Concurrency and Computation: Practice and Experience
ABSTRACT In machine learning (ML), hyperparameter optimization (HPO) is the process of choosing a tuple of values that ensures an efficient deployment and training of an AI model. In practice, HPO not only applies to ML tuning but can also be used to tune complex numerical simulations.
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Optimization of Biomedical Language Model with Optuna and a Sentencepiece Tokenization for NER

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
Chérubin Mugisha, Incheon Paik
openaire   +2 more sources

Modeling of Circularly Polarized Antenna Based on Optuna-MBNN

2023 International Applied Computational Electromagnetics Society Symposium (ACES-China), 2023
Hailong Yang, Zhaokui Tian, Tuo Yang, Shanzhe Wang, Jinsheng Zhang, Xuping Li   +5 more
openaire   +1 more source

Using Optuna and Genetic Algorithm together facilitate the classification of plant leaf diseases

International Journal of Hybrid Intelligent Systems
The identification and severity assessment of plant leaf diseases is crucial to food security and sustainable agriculture. This study shows an innovative way to improve plant leaf disease detection. The recommended method uses Optuna for parameter optimization and the Genetic Algorithm for feature selection to improve plant leaf disease identification.
Priyanga Subbiah, Amit Kumar Tyagi, N. Krishnaraj 0001   +2 more
openaire   +2 more sources

A Lightweight Method using LightGBM Model with Optuna in MOOCs Dropout Prediction

Proceedings of the 6th International Conference on Education and Multimedia Technology, 2022
Kary Ng, Philip Lei
openaire   +1 more source

Prediction of Cardiovascular Disease using XGBoost with OPTUNA

SN Computer Science
Anamika Jain, Akansha Singh, Aman Doherey   +2 more
openaire   +2 more sources

Network Intrusion Detection System Using Optuna

2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS)
Nishank Parekh, Arzob Sen, P. Rajasekaran, J. D. Dorathi Jayaseeli, P. Robert   +4 more
openaire   +1 more source

OPTIMIZING AN ADAPTIVE NUMERICAL INTEGRATOR USING OPTUNA

Anais do Encontro Nacional de Modelagem Computacional e Encontro de Ciência e Tecnologia de Materiais
Daniel Augusto de Sousa Mendes, Rafael Pereira Bianchin, Ângelo de Carvalho Paulino, Angelo Passaro   +3 more
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Optimizing Network-Level Forensics with Optuna-Generated CNN Model

TENCON 2024 - 2024 IEEE Region 10 Conference (TENCON)
Wilson Wee Shyan Lim, Jason Yeo Joon Kiat, Ng Zheng Hao Buddy, Karen Goh Sian Mei, Ang Peng Chuan Alvin, Purnima Murali Mohan   +5 more
openaire   +2 more sources

Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and SAR image time series

International Journal of Applied Earth Observation and Geoinformation, 2023
Bolin Fu, Wei-Wei Sun, Fan Donglin
exaly