Transductive support vector machines for structured variables

  title={Transductive support vector machines for structured variables},
  author={Alexander Zien and Ulf Brefeld and Tobias Scheffer},
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over all possible labelings of the unlabeled data. In order to scale transductive learning to structured variables, we transform the corresponding non-convex, combinatorial, constrained optimization problems into continuous, unconstrained optimization problems. The discrete optimization parameters are eliminated and the… CONTINUE READING


Publications citing this paper.

91 Citations

Citations per Year
Semantic Scholar estimates that this publication has 91 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…