Results 11 to 20 of about 4,087 (203)
Federated Hyperparameter Optimisation with Flower and Optuna [PDF]
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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The Effect of SMOTE and Optuna Hyperparameter Optimization on TabNet Performance for Heart Disease Classification [PDF]
Jurnal SisfokomHeart disease is a medical condition affecting the cardiovascular system, disrupting blood circulation and reducing cardiac function efficiency, which can lead to severe health complications.
Danang Wijayanto +3 more
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Gazi Üniversitesi Fen Bilimleri DergisiKonut fiyatlarının etkili bir şekilde tahmin edilmesi, ekonominin şekillenmesinde kritik bir rol oynamaktadır. Bu çalışmanın amacı, konut fiyatlarını tahminlemede en iyi performans gösteren makine öğrenmesi modelini belirlemektir.
Vahid Sinap
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Improving Tomato Ripeness Classification Using Knowledge Distillation and Hyperparameter Optimization with Optuna [PDF]
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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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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Application of the Optuna-NeuralProphet model for predicting step-like landslide displacement
AIP AdvancesDisplacement prediction is crucial to landslide engineering monitoring and early warning. An Optuna-NeuralProphet model is proposed based on the Optuna framework and the NeuralProphet model to address the challenge of predicting step-like landslide ...
Ming Huang, Hougang Yang, Fan Yang
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Prediksi Inflasi Bulanan Menggunakan LightGBM dan Optimasi Hyperparameter Berbasis Optuna
Techno.ComInflasi merupakan indikator makroekonomi penting yang mencerminkan perubahan tingkat harga barang dan jasa serta berpengaruh terhadap stabilitas ekonomi dan pengambilan kebijakan.
Dian Maharani +2 more
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Enhancing Liver Cirrhosis Staging Accuracy using Optuna-Optimized TabNet
Journal of Applied Informatics and ComputingLiver cirrhosis is a progressive chronic disease whose early detection poses a clinical challenge, making accurate severity staging crucial for patient management.
Muhammad Farhan Arifin +4 more
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Journal of Applied Informatics and ComputingPhishing remains a persistent cybersecurity threat, evolving rapidly to bypass traditional blacklist-based detection systems. Machine Learning (ML) approaches offer a promising solution, yet finding the optimal balance between detection accuracy and ...
Rahmat Fauzi Abu Bakar, Majid Rahardi
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Otimização Multiobjetiva de um Integrador Numérico Adaptativo Utilizando o Optuna
VetorA integração numérica de equações diferenciais ordinárias é um dos problemas mais comuns em análise numérica. Diversos métodos e técnicas estão disponíveis na literatura, assim como diferentes combinações de heurísticas e parâmetros.
Daniel Augusto de Sousa Mendes +3 more
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