ml:support_vector_machines
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Support Vector Machines
Papers
- Optimizing SVMs in the primal: Chapelle 2006 - Training a Support Vector Machine in the Primal
- The idea for training neural networks with SVM loss came from Ronan Collobert's 2004 PhD Thesis and this paper: Collobert 2004 which has some conceptual errors (mainly that SVM loss is not Perceptron loss).
ml/support_vector_machines.1621805927.txt.gz · Last modified: 2023/06/15 07:36 (external edit)