Support Vector Machines
	• The line that maximizes the minimum margin is a good bet. – The model class of “hyper-planes with a margin of m” has a low VC dimension if m is big. • This maximum-margin separator is determined by a subset of the datapoints. – Datapoints in this subset  are called “support vectors”. – It will be useful computationally if only a small fraction of the datapoints are support vectors, because we use the support vectors to decide which side of the separator a test case is on.
					The support vectors are indicated by the circles around them.