A primal sub-gradient method for structured classification with the averaged sum loss

DOI10.2478/amcs-2014-0067zbMath1309.62109OpenAlexW2004048363MaRDI QIDQ2018420

Dejan Mančev, Branimir T. Todorović

Publication date: 14 April 2015

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/amcs-2014-0067

zbMATH Keywords

support vector machinessequence labelingstructured classificationsub-gradient methods

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• Pegasos

Cites Work

• Pegasos: primal estimated sub-gradient solver for SVM
• Cutting-plane training of structural SVMs
• Structured Learning and Prediction in Computer Vision
• Robust Stochastic Approximation Approach to Stochastic Programming
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