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The estimation of the optimum linear decision function with a sequential random method | IEEE Journals & Magazine | IEEE Xplore

The estimation of the optimum linear decision function with a sequential random method


Abstract:

This paper is concerned with the categorizing of patterns by means of linear decision functions,^{1}as developed by Highleyman [1], [2]. A new procedure for the estimatio...Show More

Abstract:

This paper is concerned with the categorizing of patterns by means of linear decision functions,^{1}as developed by Highleyman [1], [2]. 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 [1] and [2] yields better results than the procedure developed by Highleyman.
Published in: IEEE Transactions on Information Theory ( Volume: 12, Issue: 3, July 1966)
Page(s): 312 - 315
Date of Publication: 31 July 1966

ISSN Information:


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