Multivariate pattern analysis (MVPA) is an umbrella term that covers multivariate methods such classification, regression and related approaches such as Representational Similarity Analysis.MVPA-Light ...

MVPA-Light is a MATLAB toolbox for multivariate pattern analysis (MVPA). It provides native implementations of a range of classifiers and regression models, using modern optimization algorithms.

In particular, substantial advances have been made in the areas of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from ...

We consider high-dimensional binary classification by sparse logistic regression. We propose a model/feature selection procedure based on penalized maximum likelihood with a complexity penalty on the ...

Statistical Analysis and Data Mining (2016), 9(1):12-42. (The American Statistical Association Data Science Journal) Dazard J-E., Choe M., LeBlanc M., and Rao J.S. R package PRIMsrc: Bump Hunting by ...

Hyperspectral remote sensing imagery contains rich information on spectral and spatial distributions of distinct surface materials. Owing to its numerous and continuous spectral bands, hyperspectral ...

Future work may extend MTLComb by incorporating additional types of losses, broadening its application scope. For instance, adding a Poisson regression model in the sepsis analysis could support the ...

Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...