SVM Incremental Learning , Adaptation and Optimization

@inproceedings{Diehl2003SVMIL,
  title={SVM Incremental Learning , Adaptation and Optimization},
  author={Chris Diehl},
  year={2003}
}
The objective of machine learning is to identify a model that yields good generalization performance. This involves repeatedly selecting a hypothesis class, searching the hypothesis class by minimizing a given objective function over the model’s parameter space, and evaluating the generalization performance of the resulting model. This search can be computationally intensive as training data continuously arrives, or as one needs to tune hyperparameters in the hypothesis class and the objective… CONTINUE READING
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