The model based on Gaussian process (GP) prior and a kernel covariance function can be used to fit nonlinear data with multidimensional covariates. It has been used as a flexible nonparametric ...

Furthermore, the incorporation of deep learning methods in ordinal regression has enabled practitioners to effectively combine image and tabular data, thereby improving performance in applications ...

Like other boosting algorithms, L₂Boost uses many times in an iterative fashion a prechosen fitting method, called the learner. Based on the explicit expression of refitting of residuals of L₂Boost, ...