ASYMPTOTIC PROBABILITY OF ERROR USING 2 DECISION-DIRECTED ESTIMATORS FOR 2 UNKNOWN MEAN VECTORS

被引：14

作者：

PATRICK, EA

COSTELLO, JP

机构：

[1] School of Elec. Engrg., Purdue University, Lafayette

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 1968年 / 14卷 / 01期

关键词：

D O I：

10.1109/TIT.1968.1054074

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The asymptotic probability of error for an unsupervised learning system with two unknown mean vectors, which are estimated by “decision-directed” estimators, is investigated. Theoretical solutions are obtained for various class probabilities and signal-to-noise ratios by utilizing a digital computer. © 1968 IEEE. All rights reserved.

引用

页码：160 / +

页数：1

共 6 条

[1] CRAMER H, 1964, MATHEMATICAL METHODS, P247
[2] DVORETZKY A, 1956, 3 P BERK S MATH STAT, V1, P39
[3] ITERATIVE COMPUTATION OF A POSTERIORI PROBABILITY FOR M-ARY NONSUPERVISED ADAPTATION
HANCOCK, JC
PATRICK, EA
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1966, 12 (04) : 483 - +
[4] NONSUPERVISED SEQUENTIAL CLASSIFICATION AND RECOGNITION OF PATTERNS
PATRICK, EA
HANCOCK, JC
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1966, 12 (03) : 362 - +
[5] PATRICK EA, 1966, TREE6621 PURD U REPT
[6] PROBABILITY OF ERROR OF SOME ADAPTIVE PATTERN-RECOGNITION MACHINES
SCUDDER, HJ
[J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 1965, 11 (03) : 363 - 371

← 1 →