Results 61 to 70 of about 111,792 (225)

Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction

Scientific Reports
Federated Learning is transforming electrical load forecasting by enabling Artificial Intelligence (AI) models to be trained directly on household edge devices.
Liana Toderean, Mihai Daian, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas   +6 more
doaj   +1 more source

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

Advanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang, Ji Chen, Jinfeng Han, Wei Cheng, Jiang Qiu, Jianfeng Feng, Simon Eickhoff, Deniz Vatansever   +7 more
wiley   +1 more source

Comparative Study on Hyperparameter Tuning for Predicting Concrete Compressive Strength

Buildings
This study assesses the impact of hyperparameter optimization algorithms on the performance of machine learning-based concrete compressive strength prediction models.
Jeonghyun Kim, Donwoo Lee
doaj   +1 more source

Divergent Responses of Bacterial Communities to Permafrost Degradation and Their Associations With Carbon Across Vertical Profiles

Advanced Science, EarlyView.
Bacterial α‐diversity decreases, but stochasticity and community stability increase across the 15 m‐depth vertical profiles and along the degraded gradient within the active layer. The abundance and interaction of core taxa mainly control community stability in the active and permafrost layers, respectively.
Shengyun Chen, Yuzheng Gu, Ali Bahadur, Enyan Liu, Tonghua Wu, Xiaofan Zhu, Yuanqiang Zou, Hewei Liang, Peijie Wei, Linwei Wu, Qingbai Wu, Peizhi Yang, Hongyan Yu, Yunfeng Yang   +13 more
wiley   +1 more source

Research on parameter selection and optimization of C4.5 algorithm based on algorithm applicability knowledge base

Scientific Reports
Given that the decision tree C4.5 algorithm has outstanding performance in prediction accuracy on medical datasets and is highly interpretable, this paper carries out an optimization study on the selection of hyperparameters of the algorithm in order to ...
Yiyan Zhang, Yi Xin, Qin Li
doaj   +1 more source

Optimisasi Hyperparameter BiLSTM Menggunakan Bayesian Optimization untuk Prediksi Harga Saham

Jambura Journal of Mathematics
The accuracy of deep learning models in predicting dynamic and non-linear stock market data highly depends on selecting optimal hyperparameters. However, finding optimal hyperparameters can be costly in terms of the model's objective function, as it ...
Fandi Presly Simamora, Ronsen Purba, Muhammad Fermi Pasha   +2 more
doaj   +1 more source

Evaluation of Hyperparameter Optimization Techniques for Traditional Machine Learning Models [PDF]

Jisuanji kexue
Reasonable hyperparameters ensure that machine learning models can adapt to different backgrounds and tasks.In order to avoid the inefficiency caused by manual adjustment of a large number of model hyperparameters and a vast search space,various ...
LI Haixia, SONG Danlei, KONG Jianing, SONG Yafei, CHANG Haiyan
doaj   +1 more source

Heuristically Adaptive Diffusion‐Model Evolutionary Strategy

Advanced Science, EarlyView.
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl, Yanbo Zhang, Hananel Hazan, Michael Levin   +3 more
wiley   +1 more source

Collaborative hyperparameter tuning

, 2013
International audienceHyperparameter learning has traditionally been a manual task because of the limited number of trials. Today's computing infrastructures allow bigger evaluation budgets, thus opening the way for algorithmic approaches.
Bardenet, R., Brendel, M., Kégl, Balázs, Sebag, Michèle   +3 more
core   +1 more source

An Optimized Hyperparameter Tuning for Improved Hate Speech Detection with Multilayer Perceptron

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Hate speech classification is a critical task in the domain of natural language processing, aiming to mitigate the negative impacts of harmful content on digital platforms.
Muhamad Ridwan, Ema Utami
doaj   +1 more source