Introduction to the special issue on explanation in case-based reasoning

被引:33
作者
Leake, D
Mcsherry, D
机构
[1] Indiana Univ, Dept Comp Sci, Bloomington, IN 47405 USA
[2] Univ Ulster, Sch Comp & Informat Engn, Coleraine BT52 1SA, Londonderry, North Ireland
关键词
Neural Network; Artificial Intelligence; Complex System; Nonlinear Dynamics;
D O I
10.1007/s10462-005-4606-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The extended versions of selected papers from the ECCBR-04 Workshop on Explanation in case-based reasoning (CBR), are presented. An approach by which CBR systems can use explanations of similarity to improve their performance was explained. A CBR approach to explain the predictions of black box algorithms such as neural networks or support vector machines was also discussed. A presentation on the explanatory power of a conversational CBR approach to product recommendations in a mixed-initiative recommender system was also demonstrated.
引用
收藏
页码:103 / 108
页数:6
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