Applications of case-based reasoning in molecular biology

被引：0
|
作者：
Jurisica, I [1 ]
Glasgow, J
机构：
[1] Univ Toronto, Dept Comp Sci, Toronto, ON, Canada
[2] Univ Toronto, Dept Med Biophys, Toronto, ON, Canada
[3] Queens Univ, Sch Comp, Kingston, ON K7L 3N6, Canada
[4] Princess Margaret Hosp, Ontario Canc Inst, Div Canc Informat, Toronto, ON, Canada
来源：
AI MAGAZINE | 2004年 / 25卷 / 01期
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Case-based reasoning (CBR) is a computational reasoning paradigm that involves the storage and retrieval of past experiences to solve novel problems. It is an approach that is particularly relevant in scientific domains, where there is a wealth of data but often a lack of theories or general principles. This article describes several CBR systems that have been developed to carry out planning, analysis, and prediction in the domain of molecular biology.
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收藏
页码：85 / 95
页数：11
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