مكتبة

Source: Lavoie, S, Allott, K, Amminger, P, Bartholomeusz, C, Berger, M, Breakspear, M, Henders, A K, Lee, R, Lin, A, McGorry, P, Rice, S, Schmaal, L & Wood, S J 2020, ' Harmonised collection of data in youth

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Adaptive MCMC for multiple changepoint analysis with applications to large datasets

Authors : Alan Benson; Nial Friel

Subjects: 0301 basic medicine; Statistics and Probability; Bayesian probability

Source: Electron. J. Statist. 12, no. 2 (2018), 3365-3396

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Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets

Authors : Josef Spidlen; Rina Anno; Anna C. Belkina

Subjects: 0301 basic medicine; Calibration (statistics); Computer science

Source: Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)Nature Communications

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Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment

Authors : Yentl Swolfs; Francisco Mesquita; Steve Bucknell

Subjects: Science (General); Materials science; Computer applications to medicine. Medical informatics

Source: Data in BriefData in Brief, Vol 36, Iss, Pp 107085-(2021)

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qSNE: quadratic rate t-SNE optimizer with automatic parameter tuning for large datasets

Authors : Eleonora Petrucci; Katja Kaipio; Juha Koiranen ...

Subjects: Statistics and Probability; Source code; Perplexity

Source: Bioinformatics

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ASTRAL-MP: scaling ASTRAL to very large datasets using randomization and parallelization

Authors : Chao Zhang; Siavash Mirarab; John Yin

Subjects: 0106 biological sciences; Statistics and Probability; Speedup

Source: Bioinformatics. 35:3961-3969

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Empirical Models of Shear-Wave Radiation Pattern Derived from Large Datasets of Ground-Shaking Observations

Authors : Sreeram Reddy Kotha; Fabrice Cotton; Dino Bindi

Subjects: 0301 basic medicine; Earthquake engineering; Multidisciplinary

Source: Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019)Scientific Reports

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'photosearcher' package in R: An accessible and reproducible method for harvesting large datasets from Flickr

Authors : James M. Bullock; Katherine E. Parks; Felix Eigenbrod

Subjects: lcsh:Computer software; 0303 health sciences; Computer science

Source: SoftwareX, Vol 12, Iss, Pp 100624-(2020)

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فلترة النتائج

DEVILS: a tool for the visualization of large datasets with a high dynamic range

The use of two-sample methods for Mendelian randomization analyses on single large datasets

Harmonised collection of data in youth mental health: Towards large datasets

Adaptive MCMC for multiple changepoint analysis with applications to large datasets

Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets

Large datasets of single carbon and glass fibre mechanical properties obtained with automated testing equipment

qSNE: quadratic rate t-SNE optimizer with automatic parameter tuning for large datasets

ASTRAL-MP: scaling ASTRAL to very large datasets using randomization and parallelization

Empirical Models of Shear-Wave Radiation Pattern Derived from Large Datasets of Ground-Shaking Observations

'photosearcher' package in R: An accessible and reproducible method for harvesting large datasets from Flickr

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