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. We ...
In this paper, we present a new method, called group sparse additive models ... Group Sparse Additive Models rate group structure to achieve better support ...
A novel classification method, called as \emph{group sparse additive machine} (GroupSAM), is proposed to explore and utilize the structure information among ...
A new method, called group sparse additive models (GroupSpAM), which can handle group sparsity in additive models, and derives a novel thresholding ...
This new model detects a sparse set of genomic loci that are associated with trait dynamics, and demonstrates increased statistical power over existing methods.
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Sparse additive models are essentially a functional version of the grouped lasso of Yuan and Lin. They are also closely related to the COSSO model of Lin and ...
A new group sparse nonlinear classification algorithm (GroupSAM) is proposed by extending the previous additive regression models to the classification setting, ...
Abstract. We present a unified framework for estimation and analysis of generalized additive models in high dimensions. The framework defines a large class ...
We present a new class of methods for high dimensional non-parametric regression and classification called sparse additive models.
The aim of the paper is to discuss and analyze the use of learning model with grouped variables, which seems to be very useful in feature classification ...