Innovative Approach to Classification: Stacking Method Explained
Discover how stacking, a method to combine classifiers through non-linearized outputs, creates new features for classification. Learn about its relevance to representation learning and its practical application despite limited theoretical understanding.
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Presentation Transcript
Stacking Usman Roshan
Stacking A method to combine classifiers Instead of majority vote or boosting use non- linearized outputs to create new features Then apply a classifier on the new representation Closely related to representation learning Stacked generalization Very little theory is known but works in practice
