A safe screening rule for accelerating weighted twin support vector machine
Sign Up to like & getrecommendations! Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3397-1
Abstract: Weighted twin support vector machine with local information (WLTSVM) is a novel algorithm for binary classification problems. It can exploit as much underlying correlation information as possible. Unfortunately, it remains challenging to apply WLTSVM into… read more here.
Keywords: weighted twin; ssr wltsvm; wltsvm; screening rule ... See more keywords
l_1-norm quantile regression screening rule via the dual circumscribed sphere.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3087160
Abstract: l_1-norm quantile regression is a common choice if there exists outlier or heavy-tailed error in high-dimensional data sets. However, it is computationally expensive to solve this problem when the feature size of data is ultra… read more here.
Keywords: screening rule; norm quantile; rule; dual circumscribed ... See more keywords