WebArticle “Sparse additive machine with ramp loss” Detailed information of the J-GLOBAL is a service based on the concept of Linking, Expanding, and Sparking, linking science and … WebA novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration Direct multi-task twin support vector machine (DMTSVM) is an effective algorithm to deal with multi-task classification problems. However, the generated hyperplane may shift to outliers since the hinge loss is used in DMTSVM.

Sparse additive machine with pinball loss - ScienceDirect

Web28. jún 2024 · We propose a novel sparse kernel method, named ATk -GSAM, which integrates the average top-k (AT k) loss into group sparse additive models in reproducing kernel Hilbert spaces (RKHS). To the best of our knowledge, this is the first work studying the robustness of the sparse additive models in classification task. • Web1. jan 2014 · The proposed ramp-LPSVM is a piecewise linear minimization problem and the related optimization techniques are applicable. Moreover, the l1 -penalty can enhance the sparsity. In this paper, the corresponding misclassification error and convergence behavior are discussed. Generally, the ramp loss is a truncated hinge loss. かえもん タイヤ

GitHub - smhbamakan/Ramp-KSVCR: Ramp Loss K-Support …

Web1. dec 2024 · A Ramp sparse support matrix machine (RSSMM) is proposed. • The Ramp loss can limit the maximum loss of outliers. • The redundant information in the input … Web27. máj 2024 · An adaptive sparse Huber additive model for robust forecasting in both non-Gaussian data and (non)stationary data is proposed and results on both synthetic and … Webmonly used to recover sparse solutions in the case of sim-ple dictionaries that consist of one-dimensional spaces H j(see, e.g, Koltchinskii (2007) and references therein). The goal is to extend this methodology to more general class of problems that include aggregation of large en-sembles of kernel machines and sparse additive models. pate fegato vitello