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This paper is concerned with the categorizing of patterns by means of linear decision functions, as developed by Highleyman , . A new procedure for the estimation of the optimum linear decision function is developed. This procedure determines the minimum estimation of the loss function with a sequential random method. An application of the procedure to the same problem as discussed in  and  yields better results than the procedure developed by Highleyman.