Fast Local Support Vector Machines for Large Datasets

@inproceedings{Segata2009FastLS,
  title={Fast Local Support Vector Machines for Large Datasets},
  author={Nicola Segata and Enrico Blanzieri},
  booktitle={MLDM},
  year={2009}
}
Local SVM is a classification method that combines instance-based learning and statistical machine learning. It builds an SVM on the feature space neighborhood of the query point in the training set and uses it to predict its class. There is both empirical and theoretical evidence that Local SVM can improve over SVM and kNN in terms of classification accuracy, but the computational cost of the method permits the application only on small datasets. Here we propose FastLSVM, a classifier based on… CONTINUE READING
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