Transcript
Page 1: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )

+PAC LearningVC Dimension

(Most slides by courtesy of Prof. Carlos Guestrin)

10-701/15-781 Machine Learning Fall 2010

Recitation by Leman Akoglu11/4/10

Page 2: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 3: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 4: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 5: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 6: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 7: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 8: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 9: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 10: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 11: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 12: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 13: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 14: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )

We only care about the maximum number of points that can be

classified exactly!

Page 15: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 16: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 17: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 18: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 19: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 20: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 21: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )
Page 22: PAC Learning VC Dimension (Most slides  by courtesy of Prof . Carlos  Guestrin )

HW 4:o Linear boundary d-Do Convex d-gons in the plane

Axes aligned rectangles?

VC(H)=4

Note: A point is + if it is inside the rectangle.

Other examples of VC dimension


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