Multicategory ψ-Learning and Support Vector Machine : Computational Tools

@inproceedings{Liu2005MulticategoryA,
  title={Multicategory ψ-Learning and Support Vector Machine : Computational Tools},
  author={Yufeng Liu and Xiaotong Shen and Hani Doss},
  year={2005}
}
Many margin-based binary classification techniques such as support vector machine (SVM) andψ-learning deliver high performance. An earlier article proposed a new multicategoryψ-learning methodology that shows great promise in generalization ability. However, ψ-learning is computationally difficult because it requires handling a nonconvex minimization problem. In this article, we propose two computational tools for multicategory ψ-learning. The first one is based on d.c. algorithms and solved by… CONTINUE READING
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