Incremental Reduced Support Vector Machines

@inproceedings{Lee2001IncrementalRS,
  title={Incremental Reduced Support Vector Machines},
  author={Yuh-Jye Lee and Hung-Yi Lo and Su-Yun Huang},
  year={2001}
}
The reduced support vector machine (RSVM) has been proposed to avoid the computational difficulties in generating a nonlinear support vector machine classifier for a massive dataset. RSVM selects a small random subset from the entire dataset with a user pre-specified size m̄ to generate a reduced kernel (rectangular) matrix. This reduced kernel will replace the fully dense square kernel matrix used in the nonlinear support vector machine formulation to cut the problem size and computational… CONTINUE READING

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