Results 21 to 30 of about 2,998 (192)

Optuna

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, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, Masanori Koyama   +4 more
openaire   +3 more sources

OLGBM: Optuna Optimized Light Gradient Boosting Machine for Intrusion Detection

2021 International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2021
Network technology has been evolved exponentially in the past few decades. At the same time, gazillions of network intrusion incidents are continuously forming cyberspace a shocking vulnerable domain to explore for the personnel from armature to the professionals. Consequently, networks mostly become botnet when there are no Intrusion Detection Systems
Arifin, Md Mashrur, Based, Md Abdul, Mumenin, Khondoker Mirazul, Imran, Ali, Azim, Mohammad Abdul, Alom, Zulfikar, Abdul Awal, Md   +6 more
openaire   +4 more sources

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, Pulung Nurtantio Andono, Moch Arief Soeleman   +2 more
doaj   +2 more sources

Optuna-Optimized Ensemble and Neural Network Models for Static Characteristics Prediction of Active Bearings with Geometric Adjustments

Modelling
Active vibration control designs for journal bearings have improved rotordynamic stability and led to advancements in adjustable bearing types that enable precise control of bearing geometry. In this study, optimized machine learning (ML) algorithms were
Girish Hariharan, Ravindra Mallya, Nitesh Kumar, Deepak Doreswamy, Gowrishankar Mandya Chennegowda, Subraya Krishna Bhat   +5 more
doaj   +2 more sources

The Optuna–LightGBM–XGBoost Model: A Novel Approach for Estimating Carbon Emissions Based on the Electricity–Carbon Nexus

Applied Sciences
With the challenge posed by global warming, accurately estimating and managing carbon emissions becomes a key step for businesses, especially power generation companies, to reduce their environmental impact.
Yuanhang Cai, Jianxin Feng, Yanqing Wang, Yuanming Ding, Yue Hu, Hui Fang   +5 more
doaj   +3 more sources

CO₂ Emission Prediction for Coal-Fired Power Plants by Random Forest-Recursive Feature Elimination-Deep Forest-Optuna Framework

Energies
As the greenhouse effect intensifies, China faces pressure to manage CO2 emissions. Coal-fired power plants are a major source of CO2 in China. Traditional CO2 emission accounting methods of power plants are deficient in computational efficiency and ...
Kezhi Tu, Yanfeng Wang, Xian Li, Xiangxi Wang, Zhenzhong Hu, Bo Luo, Liu Shi, Minghan Li, Guangqian Luo, Hong Yao   +9 more
doaj   +2 more sources

Enhancing Hepatitis C Diagnosis: The Impact of SMOTE, Optuna, and SHAP on Detection Methods [PDF]

Iranian Journal of Electrical and Electronic Engineering
Hepatitis C virus (HCV) detection is a critical aspect of early intervention and effective management of the disease. This paper presents a comprehensive study focused on enhancing the detection accuracy of HCV through the integration of advanced ...
S.M Mehzabeen, R Gayathri, Pattunnarajam Paramasaivam, Ramya A   +3 more
doaj   +1 more source

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, Arian Roya, Kafieh Rahele   +2 more
openaire   +2 more sources

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

A novel epileptic seizure prediction model based on Cox-Stuart and Optuna. [PDF]

Front Neurol
Objectives In order to more accurately predict whether patients with intractable epilepsy are about to develop seizures, this paper proposes an epilepsy prediction model. Methods When the amount of targeted patient data is small, A Cox-
Zhang X, Zhang X, Chen F.
europepmc   +3 more sources