Multiple outputs
	• If there are multiple outputs we can often treat the learning problem as a set of independent problems, one per output. – Not true if the output noise is correlated and changes from case to case. • Even though they are independent problems we can save work by only multiplying the input vectors by the inverse covariance of the input components once. For output k we have:
		does not depend on a