WebSparse additive machine with ramp loss. Analysis and Applications, 19(3):509-528, 2024. Yulong Wang, Yuan Yan Tang, Luoqing Li, Hong Chen. Modal regression based atomic representation for robust face recognition and reconstruction, IEEE Transactions on Cybernetics,50(10):4393–4405, 2024. Weband classification called sparse additive models (SpAM). Our methods combine ideas from sparse linear modeling and additive nonparametric regression. We de-rive a method for fitting the models that is effective even when the number of covariates is larger than the sample size. A statistical analysis of the properties of
Sparse additive machine with ramp loss Analysis and Applications
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. • Web8. feb 2011 · The ramp loss allows a maximum error of 2 for each training observation, while the hard margin loss calculates error by counting the number of training observations that … gray wrenches
Group sparse additive machine with average top-k loss
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. 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 … 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. gray wrapped boots