MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston
In this lecture, we build an identification tree based on yes/no tests. We start by arranging the tree based on tests that result in homogeneous subsets. For larger datasets, this is generalized by measuring the disorder of subsets.
License: Creative Commons BY-NC-SA
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Tagged under: identification tree,population,test,homogeneous,large dataset,disorder,entropy,subset,information theory,nearest neighbors,decision boundaries,rule based,vampire,shadow,garlic
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