A course in Machine Learning. Daume III, H chapter, 2012. abstract bibtex So far, you've seen two types of learning models: in decision trees, only a small number of features are used to make decisions; in nearest neighbor algorithms, all features are used equally. Neither of these extremes is always desirable. In some problems, we might want to
@Article{DaumeIII2012,
author = {Daume III, H},
title = {A course in Machine Learning},
journal = {chapter},
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pages = {},
year = {2012},
abstract = {So far, you\'ve seen two types of learning models: in decision trees, only a small number of features are used to make decisions; in nearest neighbor algorithms, all features are used equally. Neither of these extremes is always desirable. In some problems, we might want to},
location = {},
keywords = {}}
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