A hybrid scaling parameter for the scaled memoryless BFGS method based on the ℓ∞ matrix norm
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Computer Mathematics"
DOI: 10.1080/00207160.2018.1465940
Abstract: ABSTRACT An upper bound for condition number of the scaled memoryless Broyden–Fletcher–Goldfarb–Shanno (BFGS) updating formula in the matrix norm is given. Then, in order to increase numerical stability of the related method, the suggested bound… read more here.
Keywords: bfgs; method; matrix norm; scaling parameter ... See more keywords
Alternating Direction Multiplier Method for Matrix l2,1-Norm Optimization in Multitask Feature Learning Problems
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/4864296
Abstract: The joint feature selection problem can be resolved by solving a matrix - norm minimization problem. For - norm regularization, one of the most fascinating features is that some similar sparsity structures can be employed… read more here.
Keywords: feature; alternating direction; method; matrix norm ... See more keywords