Statistics and Machine Learning Toolbox™ allows you to use parallel computing to speed up certain statistical computations. In parallel computing, a single MATLAB®client session distributes code segments t
This course provides hands-on experience for performing statistical data analysis with MATLAB®and Statistics and Machine Learning Toolbox™. Examples and exercises demonstrate the use of appropriate MATLAB and Statistics and Machine Learning Toolbox functionality throughout the analysis process, including...
AI and Statistics > Statistics and Machine Learning Toolbox Find more on Statistics and Machine Learning Toolbox in Help Center and MATLAB Answers Tags Add Tags classification machine learning pattern recognition regression statistical learning toolbox FEATURED DISCUSSION PIVlab surpasses 100K all-...
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To improve the analysis of GWAS, we propose a combination of machine learning and statistical testing that takescorrelation structureswithin the set of SNPs under investigation in a mathematically well-controlled manner into account. The novel two-step algorithm, COMBI, first trains a support vector ...
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Machine learning models are increasingly applied at partially sampled and unsampled locations. • More effort is needed in the uncertainty assessment of long-term wind speed estimates. Abstract Wind resource assessment (WRA) depends on the availability of accurate, long-term wind speed data. In lo...
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In recent decades, climate change has emerged as a significant issue, causing ongoing increases in ocean and atmospheric temperatures. This trend indicates
Mathworks Statistics and Machine Learning Toolbox. Known to work with: Matlab R2017a or later. Known not to work with: Matlab R2016b or earlier. Issues For bug reports, code issues, or feature request, please submit a new Issue on GitHub: https://github.com/klabhub/bayesFactor/issues Co...