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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/12944

Title: A Comparison of Incremental Case-Based Reasoning and Inductive Learning
Author: Smyth, Barry
Cunningham, Pádraig
Keywords: Computer Science
Issue Date: Nov-1994
Publisher: Trinity College Dublin, Department of Computer Science
Citation: Smyth, Barry; Cunningham, Pádraig. 'A Comparison of Incremental Case-Based Reasoning and Inductive Learning'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-94-13, 1994, pp6
Series/Report no.: Computer Science Technical Report
TCD-CS-94-13
Abstract: This paper focuses on problems where the reuse of old solutions seems appropriate but the conventional CBR methodology is not adequate because a complete description of the new problem is not available to trigger case retrieval. We describe an information theoretic technique that solves this problem by producing focused questions to fill out the case description. This use of information theoretic techniques in CBR raises the question of whether a standard inductive learning approach would not solve this problem adequately. The main contribution of this paper is an evaluation of how this incremental case-based reasoning compares with a pure inductive learning approach to the same task.
Description: Also in Proceedings of the Second European Workshop on Case-Based Reasoning, Chantilly, France.
URI: https://www.cs.tcd.ie/publications/tech-reports/reports.94/TCD-CS-94-13.pdf
http://hdl.handle.net/2262/12944
Appears in Collections:Computer Science Technical Reports

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