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 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.