Support matrix machine with truncated pinball loss for classification
Support matrix machine with truncated pinball loss for classification is a scholarly work, published in 2024 in ''Applied Soft Computing''. The main subjects of the publication include independent component analysis, artificial intelligence, noise, matrix, Bounding overwatch, computer science, artificial neural network, compressed sensing, support vector machine, hinge loss, benchmark, quantile, machine learning, pattern recognition, and algorithm. To remedy the shortcoming, authors propose a support matrix machine based on truncated pinball loss (TPin-SMM) in this paper, which integrates noise insensitivity and sparsity simultaneously.