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user 17021
'Classification And Regression Trees', also sometimes called 'decision trees'. CART is a popular machine learning technique, and it forms the basis for techniques like random forests and common implementations of gradient boosting machines.
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How to use CART for AdaBoost?
A single CART node consists of a simple threshold (and of course the selected feature descriptor) which separates the data set for the left successor and/or right successor node. … Let us assume that I want to update the weight of a single data point $x_i$ by using a single CART with depth 3. …
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