Výsledky vyhľadávania - "hyper-parameter optimization"

AME: Attention and Memory Enhancement in Hyper-Parameter Optimization Autor Xu, Nuo, Chang, Jianlong, Nie, Xing, Huo, Chunlei, Xiang, Shiming, Pan, Chunhong

“… To solve these two difficulties, an efficient parallel hyper-parameter optimization model is proposed under the framework of Deep Reinforcement Learning (DRL…”
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A GPSO-optimized convolutional neural networks for EEG-based emotion recognition Autor Gao, Zhongke, Li, Yanli, Yang, Yuxuan, Wang, Xinmin, Dong, Na, Chiang, Hsiao-Dong

“… We design an experiment to arouse three types of emotion states for each subject, and simultaneously collect EEG…”
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Design of subject independent 3D VAD emotion detection system using EEG signals and machine learning algorithms Autor Nandini, Durgesh, Yadav, Jyoti, Rani, Asha, Singh, Vijander

“…•Three subject-independent emotion detection systems: EDS1, EDS2, and EDS3, are designed…”
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Automated Detection of Parkinson's Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network Autor Ali, Liaqat, Zhu, Ce, Zhang, Zhonghao, Liu, Yipeng

“… However, these methods either lack generalization and clinically significant classification performance or face the problem of subject overlap. Methods…”
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Parsimonious fuzzy time series modelling Autor Gao, Ruobin, Duru, Okan

“…•Integrate data transformation, feature selection and hyper-parameter optimization together…”
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The Role of Structure MRI in Diagnosing Autism Autor Ali, Mohamed T., ElNakieb, Yaser, Elnakib, Ahmed, Shalaby, Ahmed, Mahmoud, Ali, Ghazal, Mohammed, Yousaf, Jawad, Abu Khalifeh, Hadil, Casanova, Manuel, Barnes, Gregory, El-Baz, Ayman

“…This study proposes a Computer-Aided Diagnostic (CAD) system to diagnose subjects with autism spectrum disorder (ASD…”
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Hyper Parameter Optimization in Machine Learning For Enhancing Loan Sanction Processes Autor Saraswathi, K., Renukadevi, N.T., Akshaya, K.G., Kanishka, S.

“… Individuals are submitting loan applications, and banks are profiting more from lending. Assessing each applicant's information by hand is more time-consuming and subject to human mistake…”
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Simulation-Optimization in Logistics, Transportation, and SCM

“…Transportation, logistics, and supply chain systems and networks constitute one of the pillars of modern economies and societies. From sustainable traffic…”
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Statistical Data Modeling and Machine Learning with Applications

“…The modeling and processing of empirical data is one of the main subjects and goals of statistics…”
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Parameter-optimized non-invasive speech test for Parkinson's disease Severity Assessment Autor Deepa, P., Khilar, Rashmita

“…Parkinson's disease (PD) has a significant impact on people's lives following Alzheimer's, the most common neurological condition. It causes some or all loss…”
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Automated machine vision enabled detection of movement disorders from hand drawn spirals Autor Seedat, Nabeel, Aharonson, Vered, Schlesinger, Ilana

“…) to perform classification between PD, ET and control subjects. The discrimination accuracy…”
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Bayesian Hyper-Parameter Optimisation for Malware Detection Autor ALGorain, Fahad T., Clark, John A.

“… In this paper, we investigate how best to tune the parameters of machine learning algorithms—a process generally known as hyper-parameter optimisation…”
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Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection Autor Ali, Liaqat, Zhu, Ce, Zhou, Mingyi, Liu, Yipeng

“…•We validate the hypothesis that multiple samples per subject might degrade the accuracy…”
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A new ChatGPT-empowered, easy-to-use machine learning paradigm for environmental science Autor An, Haoyuan, Li, Xiangyu, Huang, Yuming, Wang, Weichao, Wu, Yuehan, Liu, Lin, Ling, Weibo, Li, Wei, Zhao, Hanzhu, Lu, Dawei, Liu, Qian, Jiang, Guibin

“… Yet, due to the knowledge gap across different subjects, ML concepts and algorithms have not been well-popularized among researchers in environmental sustainability…”
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Prediction of illness remission in patients with Obsessive-Compulsive Disorder with supervised machine learning Autor Grassi, Massimiliano, Rickelt, Judith, Caldirola, Daniela, Eikelenboom, Merijn, van Oppen, Patricia, Dumontier, Michel, Perna, Giampaolo, Schruers, Koen

“… years, using solely predictors easily accessible in the daily clinical routine. Methods: Subjects were recruited in a longitudinal multi-center study…”
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Towards affect-aware vehicles for increasing safety and comfort: recognising driver emotions from audio recordings in a realistic driving study Autor Requardt, Alicia F, Ihme, Klas, Wilbrink, Marc, Wendemuth, Andreas

“… A careful selection of speech features, subject data identification, hyper-parameter optimisation, and machine learning algorithms was applied for this difficult 4-emotion-class detection problem…”
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Recent advances in explainable Machine Learning models for wildfire prediction Autor Sengupta, Abira, Woodford, Brendon J.

“… However, understanding what factors lead to generating models that exhibit optimal performance and providing insight into the importance of features on model outcomes is the subject of ongoing research…”
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User-customized brain computer interfaces using Bayesian optimization Autor Bashashati, Hossein, Ward, Rabab K, Bashashati, Ali

“… (referred to as hyper-parameters) including the EEG frequency bands, the channels and the time intervals from which the features are extracted should be pre-determined based on each subject's brain characteristics…”
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Information-entropy-driven generation of material-agnostic datasets for machine-learning interatomic potentials Autor P. A. Subramanyam, Aparna, Perez, Danny

“…In contrast to their empirical counterparts, machine-learning interatomic potentials (MLIAPs) promise to deliver near-quantum accuracy over broad regions of…”
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Bayesian optimization based extreme gradient boosting and GPR time-frequency features for the recognition of moisture damage in asphalt pavement Autor Li, Hongwei, Zhang, Jun, Yang, Xiaokun, Ye, Min, Jiang, Wentao, Gong, Jing, Tian, Yaogang, Zhao, Liang, Wang, Weitian, Xu, Zhi

“… To address this issue, an automatic detection method based on extreme gradient boosting (XGBoost) combined with Bayesian hyper-parameter optimization…”
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