Structured SVM Algorithm

A Structured SVM Algorithm is an SVM Algorithm that is a Complex Object Prediction Algorithm (can solve a Complex Object Prediction Task).

• Example(s):
  • a Hierarchical SVM.
• See: Convolution Kernel.

---

---

References

2009

• (Joachims et al., 2009) ⇒ Thorsten Joachims, Thomas Hofmann, Yisong Yue, and Chun-Nam Yu. (2009). “Predicting structured objects with support vector machines.” In: Communications of the ACM, 52(11). doi:10.1145/1592761.1592783.

2005

• (Tsochantaridis et al., 2005) ⇒ I. Tsochantaridis, Thorsten Joachims, Thomas Hofmann, and Y. Altun. (2005). “Large margin methods for structured and interdependent output variables.” In: Journal Machine Learning Research (JMLR), 6.

2004

• (Tsochantaridis et al., 2004) ⇒ I. Tsochantaridis, Thomas Hofmann, Thorsten Joachims, and Y. Altun. (2004). “Support vector machine learning for interdependent and structured output spaces.” In: Proceedings of the International Conference on Machine Learning (ICML 2004).

---