Source: urn:isbn:978-1-4503-2278-2 ; Proceedings of the 4th ACM Conference on Data and Application Security and Privacy, 163--166 (2014-03); 4th ACM Conference on Data and Application Security and Privacy,

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Academic Journal

Aggregated hold-out for sparse linear regression with a robust loss function

Authors : MAILLARD, Guillaume

Subjects: Hyperparameter selection; Sparse regression; Cross-validation

Source: Electronic Journal of Statistics, 16 (1), 935-997 (2022)

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Academic Journal

Aggregated hold-out

Authors : MAILLARD, Guillaume; Arlot, Sylvain; Lerasle, Matthieu ...

Subjects: cross-validation; aggregation; bagging

Source: Journal of Machine Learning Research, 22 (2021-01)

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Conference

Resampling methods for a reliable validation set in deep learning based point cloud classification

Authors : Nurunnabi, Abdul Awal Md; Teferle, Felix Norman

Subjects: Bootstrap; Supervised Method; Cross-Validation

Source: Resampling methods for a reliable validation set in deep learning based point cloud classification (2022-06); ISPRS Congress, 2022, Nice, France [FR], from 06-06-2022 to

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AI for patient stratification: Challenges and recommendations

Authors : GLAAB, Enrico; Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group)

Subjects: AI; machine learning; personalized medicine

Source: EU-Africa PerMed Summer School, South Africa [ZA], 22.02.2023

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Academic Journal

Statistical extraction of process zones and representative subspaces in fracture of random composites

Authors : Kerfriden, P.; Schmidt, K. M.; Rabczuk, T.

Subjects: Adaptive proper orthogonal decomposition; Cross-validation; Domain decomposition

Source: International Journal for Multiscale Computational Engineering, 11 (3), 253-287 (2013)

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Academic Journal

Levodopa-induced dyskinesia in Parkinson's disease: Insights from cross-cohort prognostic analysis using machine learning

Authors : Loo, R.T.J.; Tsurkalenko, O.; Klucken, J. ...

Subjects: Levodopa-induced dyskinesia; Longitudinal cohorts; Prognosis

Source: Parkinsonism and Related Disorders, 126 (107054) (2024)

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Report

Leveraging state-of-the-art architectures by enriching training information - a case study

Authors : Sölter, Jan; Proverbio, Daniele; Baniasadi, Mehri

Subjects: Engineering; computing & technology; Ingénierie

Source: COVID 19-20 Lung CT Lesion Segmentation Grand Challenge Mini-symposium, United States [US], 2021-01-11

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نتائج البحث

فلترة النتائج

kCV-B: Bootstrap with Cross-Validation for Deep Learning Model Development, Assessment and Selection

Fast cross-validation for multi-penalty ridge regression

Large-scale Machine Learning-based Malware Detection: Confronting the '10-fold Cross Validation' Scheme with Reality

Aggregated hold-out for sparse linear regression with a robust loss function

Aggregated hold-out

Resampling methods for a reliable validation set in deep learning based point cloud classification

AI for patient stratification: Challenges and recommendations

Statistical extraction of process zones and representative subspaces in fracture of random composites

Levodopa-induced dyskinesia in Parkinson's disease: Insights from cross-cohort prognostic analysis using machine learning

Leveraging state-of-the-art architectures by enriching training information - a case study

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