"1820","A theory of cross-validation error","This paper presents a theory of error in cross-validation testing of algorithms for predicting real-valued attributes. The theory justifies the claim that predicting real-valued attributes requires balancing the conflicting demands of simplicity and accuracy. Furthermore, the theory indicates precisely how these conflicting demands must be balanced, in order to minimize cross-validation error. A general theory is presented, then it is developed in detail for linear regression and instance-based learning.","http://cogprints.org/1820/","Turney, Peter D.","UNSPECIFIED","       <span class=\"person_name\">Turney, Peter D.</span>     (1994)  <a href=\"http://cogprints.org/1820/\"><em>A theory of cross-validation error.</em></a>       [Journal (Paginated)]           ","","1994"