Trinity College Dublin, Department of Computer Science
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
Computer Science Technical Report TCD-CS-94-13
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.
Also in Proceedings of the Second European Workshop on Case-Based Reasoning, Chantilly, France.
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