Information Gain TUtorial.pdf
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Copyright © 2001, 2003, Andrew W. Moore
Information Gain
Andrew W. Moore
Professor
School of Computer Science
Carnegie Mellon University
www.cs.cmu.edu/~awm
awm@cs.cmu.edu
412-268-7599
Note to other teachers and users of these slides.
Andrew would be delighted if you found this source
material useful in giving your own lectures. Feel free
to use these slides verbatim, or to modify them to fit
your own needs. PowerPoint originals are available. If
you make use of a significant portion of these slides in
your own lecture, please include this message, or the
following link to the source repository of Andrew’s
tutorials: http://www.cs.cmu.edu/~awm/tutorials
.
Comments and corrections gratefully received.
Copyright © 2001, 2003, Andrew W. Moore Information Gain: Slide 2
Bits
You are watching a set of independent random samples of X
You see that X has four possible values
So you might see: BAACBADCDADDDA…
You transmit data over a binary serial link. You can encode
each reading with two bits (e.g. A = 00, B = 01, C = 10, D =
11)
0100001001001110110011111100…
P(X=C) = 1/4P(X=B) = 1/4 P(X=D) = 1/4P(X=A) = 1/4
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