Mostrando 2,441 - 2,460 Resultados de 3,348 Para Buscar '"Machine learning"', tiempo de consulta: 0.16s Limitar resultados
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    ... the explainability and interpretability measures for machine learning models, clinically viable and statistically...
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    ... the topological features and TEWL. Moreover, using the features as input, we trained machine-learning models...
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  5. 2445
    ... of China using two machine learning models, Random Forest (RF) and Recurrent Neural Network (RNN). RF...
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  6. 2446
    ... indoor environmental data by machine learning method. The experimental results show that the proposed...
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  7. 2447
    ... open biomedical datasets has readied the area for applications of computational and machine learning...
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    ... used machine-learning models with optimized parameters. The results show that OmniGA systematically...
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  9. 2449
    .... The vast chemical space of potentially effective compounds can be explored by machine learning-based...
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  10. 2450
    ... visible to short-wave infrared hyperspectral reflectance data and machine learning algorithms. We acquired...
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    .... In this paper we explore the ability of machine learning (ML) methods to design a radiology test...
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  13. 2453
    ... than one million comments on YouTube videos through a machine learning model, trained and fine-tuned...
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  14. 2454
    ... is the classification data set commonly used in machine learning. The experimental results show that the accuracy...
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  15. 2455
    ... traffic demand. Further, the travel mode prediction model of Softmax regression machine learning algorithm...
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  16. 2456
    ... battery life. Support Vector Machine (SVM) algorithms and Machine Learning techniques in general can...
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  17. 2457
    ... variety of image processing and machine learning techniques for predicting BP via smartphone or video...
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  18. 2458
    ... machine learning lightweight framework was innovatively proposed for multi-gesture task recognition...
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  19. 2459
    ... by collecting data of Pt/carbon catalysts, and applying machine learning to reveal the importance of ranking...
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  20. 2460
    por Qing Yang, Xuesong Yin, Simin Kou, Yigang Wang
    Publicado 2021
    ...Nonnegative Matrix Factorization (NMF) is a popular technique for machine learning. Its power...
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