INFORMATION-RETRIEVAL ISSUES IN THE DESIGN OF EXPERT SYSTEMS

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作者
KANTOR, PB
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PROCEEDINGS OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE | 1986年 / 23卷
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TP [自动化技术、计算机技术];
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0812 ;
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页码:113 / 117
页数:5
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共 18 条
[1]  
CHEESEMAN P, 1983, 8TH P INT JOINT C AR, P198
[2]   EXPLOITING THE MAXIMUM-ENTROPY PRINCIPLE TO INCREASE RETRIEVAL EFFECTIVENESS [J].
COOPER, WS .
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE, 1983, 34 (01) :31-39
[3]   MAXIMUM-ENTROPY FOR HYPOTHESIS FORMULATION, ESPECIALLY FOR MULTIDIMENSIONAL CONTINGENCY-TABLES [J].
GOOD, IJ .
ANNALS OF MATHEMATICAL STATISTICS, 1963, 34 (03) :911-+
[4]  
GOOD IJ, 1963, ANN MATH STAT, V34, P932
[5]   IMAGE-RECONSTRUCTION FROM INCOMPLETE AND NOISY DATA [J].
GULL, SF ;
DANIELL, GJ .
NATURE, 1978, 272 (5655) :686-690
[6]  
Harmon P., 1985, EXPERT SYSTEMS ARTIF
[7]   INFORMATION THEORY AND STATISTICAL MECHANICS [J].
JAYNES, ET .
PHYSICAL REVIEW, 1957, 106 (04) :620-630
[8]   INFORMATION THEORY AND STATISTICAL MECHANICS .2. [J].
JAYNES, ET .
PHYSICAL REVIEW, 1957, 108 (02) :171-190
[9]  
KANTOR PB, 1984, INFORM TECHNOL R & D, V3, P88
[10]  
KANTOR PB, TANTALUSGT8413 CFAL, V3