An alternative to axis-aligned hyper-planes
	• We want a fixed set of hyper-planes that is more flexible than axis-aligned, but not nearly as complex as arbitrary hyper-planes. • Consider the N(N-1)/2 hyper-planes that are equidistant from two of the N training examples. – These are quite sensible candidates for decision boundaries. – It is very easy to compute on which side of one of these hyper-planes any of the training points lies
				hyper- plane
						pole 2