Resources / stat_ml / snow-3.2.1

Resources

• SNoW
  The SNoW (Sparse Network of Winnows) learning architecture is a multi-class classifier that is specifically tailored for large scale learning tasks and fpr domains in which the potential number of features taking part in decisions is very large, but may be unknown a priori. It learns a sparse network of linear functions in which the targets concepts (class labels) are represented as linear functions over a common feature space.

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