Some examples and use cases from the internet:

Some examples and use cases from the internet:

• might be either irrelevant to the problem or redundant. Irrelevant input variables are uninformative about the underlying process and only serve to add noise and  ...

• elimination of irrelevant input variables are integrated based on the nega
• When irrelevant input variables are present, the mutation operator is essentially working with a handicap; only card(Irel) card(Irel)+card(Iirrel) of the mutations ...
• Oct 28, 1998 ... When (fundamentally) irrelevant input variables are chosen for peeling because of their strong corre0 lations with relevant ones they are ...
• might be either irrelevant to the problem or redundant. Irrelevant input variables are uninformative about the underlying process and only serve to add noise and  ...
• tive correlation learning [1] error function. Experimental tests performed on three real  ...