Transcription of Multiclass Classification - mit.edu
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Multiclass Classification - mit.edu
Multiclass Classification Class 06, 25 Feb 2008. Ryan Rifkin It is a tale Told by an idiot, full of sound and fury, Signifying nothing.. Macbeth, Act V, Scene V. What Is Multiclass Classification? Each training point belongs to one of N different classes. The goal is to construct a function which, given a new data point, will correctly predict the class to which the new point belongs. What Isn't Multiclass Classification? There are many scenarios in which there are multiple cate- gories to which points belong, but a given point can belong to multiple categories. In its most basic form, this problem decomposes trivially into a set of unlinked binary problems, which can be solved naturally using our techniques for bi- nary classification. A First Idea Suppose we knew the density, pi(x), for each of the N. classes.
What Isn’t Multiclass Classification? There are many scenarios in which there are multiple cate-gories to which points belong, but a given point can belong
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