A novel classification method, called as \emph{group sparse additive machine} (GroupSAM), is proposed to explore and utilize the structure information among the ...

A novel classification method, called as group sparse additive machine (GroupSAM), is proposed to explore and utilize the structure information among the input ...

Jun 18, 2012 · In this paper, we present a new method, called group sparse additive models (GroupSpAM), which can handle group sparsity in additive models.

Jun 28, 2020 · Sparse additive models have shown competitive performance for high-dimensional variable selection and prediction due to their representation ...

The proposed method, called. GroupSpAM, achieves functional sparsity at the level of groups by integrating the spirit of group lasso (Yuan. & Lin, 2006) and the ...

This paper presents a new additive classification model (GroupSAM) with grouped variables based on group based additive models in kernel Hilbert spaces.

Dec 4, 2017 · A novel classification method, called as group sparse additive machine (GroupSAM), is proposed to explore and utilize the structure information ...

The proposed method, called GroupSpAM, achieves functional sparsity at the level of groups by integrating the spirit of group lasso (Yuan & Lin, 2006) and the ...

A new method, called group sparse additive models (GroupSpAM), which can handle group sparsity in additive models, and derives a novel thresholding ...

In this paper, we propose a new sparse classifica- tion method, named sparse additive machine (SAM)1, which extends L1-SVM to its nonparametric counter- part.