Chapter 2: A simple, robust, and efficient ensemble method
Application to natural language processing
Abstract
The method described here illustrates the concept of ensemble methods, applied to a real-life NLP problem: ranking articles published on a website to predict performance of future blog posts yet to be written, and help decide on title and other features to maximize traffic volume and quality, and thus revenue. The method, called hidden decision trees (HDT), implicitly builds a large number of small usable (possibly overlapping) decision trees. Observations that do not fit in any usable node are classified with an alternate method, typically simplified logistic regression.
This hybrid procedure offers the best of both worlds: decision tree ...
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