Editing Support vector machine (section)

=== Structured SVM ===
{{Main|structured SVM}}
Structured support-vector machine is an extension of the traditional SVM model. While the SVM model is primarily designed for binary classification, multiclass classification, and regression tasks, structured SVM broadens its application to handle general structured output labels, for example parse trees, classification with taxonomies, sequence alignment and many more.<ref>{{Cite web | url=https://www.cs.cornell.edu/people/tj/publications/tsochantaridis_etal_04a.pdf | title=Support Vector Machine Learning for Interdependent and Structured Output Spaces | website=www.cs.cornell.edu}}</ref>