نتایج جستجو برای: relaxed

تعداد نتایج: 14944  

Journal: :Computational Statistics & Data Analysis 2007
Nicolai Meinshausen

The Lasso is an attractive regularisation method for high dimensional regression. It combines variable selection with an efficient computational procedure. However, the rate of convergence of the Lasso is slow for some sparse high dimensional data, where the number of predictor variables is growing fast with the number of observations. Moreover, many noise variables are selected if the estimato...

Journal: :Journal of Plasma and Fusion Research 2003

Journal: :IEEE Transactions on Automatic Control 2013

Journal: :SIAM Journal on Optimization 2008

Journal: :The Boston Medical and Surgical Journal 1909

Journal: :The Annals of Statistics 1992

Journal: :ESAIM: Control, Optimisation and Calculus of Variations 2022

Given a bounded open set Ω ⊂ ℝ 2 , we study the relaxation of nonparametric area functional in strict topology BV (Ω; ). and compute it for vortex-type maps, more generally maps W 1,1 (Ω;S 1 ) having finite number topological singularities. We also extend analysis to some specific piecewise constant ), including symmetric triple junction map.

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید