TY - INPR
A1 - Wess, Stefan
A1 - Globig, Christoph
T1 - A Case Study on Case-Based and Symbolic Learning
N2 - Contrary to symbolic learning approaches, which represent a learned concept explicitly, case-based approaches describe concepts implicitly by a pair (CB; sim), i.e. by a measure of similarity sim and a set CB of cases. This poses the question if there are any differences concerning the learning power of the two approaches. In this article we will study the relationship between the case base, the measure of similarity, and the target concept of the learning process. To do so, we transform a simple symbolic learning algorithm (the version space algorithm) into an equivalent case- based variant. The achieved results strengthen the hypothesis of the equivalence of the learning power of symbolic and case-based methods and show the interdependency between the measure used by a case-based algorithm and the target concept.
KW - Case-Based Reasoning
Y1 - 1999
UR - https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/141
UR - https://nbn-resolving.org/urn:nbn:de:hbz:386-kluedo-1127
ER -