Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. Forecasting highly skewed ...

Object Details maker Ross, W. W. Description This is the third in a series of models of plane figures (surface forms) designed by William Wallace Ross, a school superintendent and mathematics teacher ...

The growth share matrix was used by about half of all Fortune 500 companies at the height of its success, according to BCG. It’s still central in business school teachings on business strategy.

science basic geometry libreoffice mathematics mathematical-expressions-evaluator matrix-multiplication curve-fitting maths statistical-models lu-decomposition equation-systems ...

Development of a multivariate spectral emissivity model for an advanced high strength steel alloy through factorial design-of-experiments.

Logistic Regression The sample code below illustrates how to run the logistic regression on the iris datsets to classify whether a data row belong to species Iris-virginica: ...