DocumentCode
907825
Title
The estimation of the optimum linear decision function with a sequential random method
Author
Wolff, A.C.
Volume
12
Issue
3
fYear
1966
fDate
7/1/1966 12:00:00 AM
Firstpage
312
Lastpage
315
Abstract
This paper is concerned with the categorizing of patterns by means of linear decision functions, 
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.
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.Keywords
Pattern classification; Sequential estimation; Appropriate technology; Design methodology; Gradient methods; Instruments; Maximum likelihood estimation; Nuclear physics; Pattern recognition;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1966.1053896
Filename
1053896
Link To Document