Multi-task Support Vector Machine Classifier with Generalized Huber Loss

This publication has 52 references indexed in Scilit:

• Pinball loss-based multi-task twin support vector machine and its safe acceleration method
  Neural Computing and Applications, 2021
• Robust regularized extreme learning machine with asymmetric Huber loss function
  Neural Computing and Applications, 2020
• Robust twin support vector regression based on Huber loss function
  Neural Computing and Applications, 2019
• Functional iterative approaches for solving support vector classification problems based on generalized Huber loss
  Neural Computing and Applications, 2019
• Object tracking based on Huber loss function
  The Visual Computer, 2018
• The aLS-SVM based multi-task learning classifiers
  Applied Intelligence, 2017
• Proximal gradient method for huberized support vector machine
  Pattern Analysis and Applications, 2015
• Least square support vector machine and multivariate adaptive regression spline for modeling lateral load capacity of piles
  Neural Computing and Applications, 2012
• Support-vector networks
  Machine Learning, 1995
• New improved error bounds for the linear complementarity problem
  Mathematical Programming, 1994