UM

Browse/Search Results:  1-5 of 5 Help

Selected(0)Clear Items/Page:    Sort:
Sparse bayesian extreme learning machine for multi-classification Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 4,Page: 836
Authors:  Luo J.;  Vong C.-M.;  Wong P.-K.
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Bayesian Learning  Classification  Extreme Learning Machine (Elm)  Sparsity  
Some results on condition numbers Book
2011
Authors:  Li Z.;  Vong S.-W.;  Wei Y.-M.;  Jin X.Q.
Favorite  |  View/Download:6/0  |  Submit date:2018/12/24
Componentwise condition number  Mixed condition number  Moore-Penrose inverse  Normwise condition number  Orthogonal projector  Underdetermined system  
Some properties of the optimal preconditioner and the generalized superoptimal preconditioner Journal article
NUMERICAL MATHEMATICS-THEORY METHODS AND APPLICATIONS, 2010,Volume: 3,Issue: 4,Page: 449-460
Authors:  Pang H.-K.;  Jin X.-Q.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/11
Generalized Superoptimal Preconditioner  Moore-penrose Inverse  Optimal Preconditioner  Semi-stability  Singular Value  Unitarily Invariant Norm  
The generalized superoptimal preconditioner Journal article
Linear Algebra and Its Applications, 2010,Volume: 432,Issue: 1,Page: 203-217
Authors:  Chen J.-L.;  Jin X.-Q.
Favorite  |  View/Download:3/0  |  Submit date:2019/02/11
Moore-penrose Inverse  Optimal Preconditioner  Semi-stablity  Spectral Relation  Superoptimal Preconditioner  
Perturbation bounds for constrained and weighted linear least squares problems Journal article
LINEAR ALGEBRA AND ITS APPLICATIONS, 2002,Volume: 349,Issue: 1-3,Page: 221-232
Authors:  M.Gulliksson;  Xiao-Qing Jin;  Yi-Min Wei
Favorite  |  View/Download:3/0  |  Submit date:2019/07/30
Linear Ls Problem  Constraint  Condition Number  (Weighted) Moore–penrose Inverse  Perturbation Bound  Weight