Weighted order statistic classifiers with large rank-order margin.perPorter, R. B. (Reid B.)perHush, D. R. (Donald R.)perTheiler, J. P. (James P.)perGokhale, M. (Maya)orgUnited States. Department of Energy.United StatesLos Alamos National Laboratory2003-01-01engWe describe how Stack Filters and Weighted Order Statistic function classes can be used for classification problems. This leads to a new design criteria for linear classifiers when inputs are binary-valued and weights are positive . We present a rank-based measure of margin that can be directly optimized as a standard linear program and investigate its effect on generalization error with experiment. Our approach can robustly combine large numbers of base hypothesis and easily implement known priors through regularization.[9] p.StatisticsClassificationComputersHypothesis97 Mathematical Methods And ComputingLearningDesign