An explainable multi-sparsity multi-kernel nonconvex optimization least-squares classifier method via ADMM - Zhang, Zhiwang; He, Jing; Cao, Jie; Li, Shuqing; Li, Xingsen; Zhang, Kai; Wang, Pingjiang; Shi, Yong (Neural computing & applications, 2022)
Keywords: Algorithms; Artificial Intelligence; Classification; Classifiers; Computational Biology/Bioinformatics; Computational geometry; Computational Science and Engineering; Computer Science; Convexity; Data mining; Data Mining and Knowledge Discovery; Feature extraction; Image Processing and Computer Vision; Iterative methods; Kernel functions; Least squares; Machine learning; Optimization; Optimization techniques; Original Article; Performance prediction; Probability and Statistics in Computer Science; Sparsity; Support vector machines; Multiple kernel learning; Nonconvex optimization; Sparse learning; Explainable; Least squares; Classification