Support vector machine learning for interdependent and structured output spaces

  title={Support vector machine learning for interdependent and structured output spaces},
  author={Ioannis Tsochantaridis and Thomas Hofmann and Thorsten Joachims and Yasemin Altun},
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input representations. This paper addresses the complementary issue of problems involving complex outputs such as multiple dependent output variables and structured output spaces. We propose to generalize multiclass Support Vector Machine learning in a formulation that involves features extracted jointly from inputs and… CONTINUE READING
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