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SBL-PM-M: A system for partial memory learning. (English) Zbl 1058.68560

Rutkowski, Leszsk (ed.) et al., Artificial intelligence and soft computing – ICAISC 2004. 7th international conference, Zakopane, Poland, June 7–11, 2004. Proceedings. Berlin: Springer (ISBN 3-540-22123-9/pbk). Lecture Notes in Computer Science 3070. Lecture Notes in Artificial Intelligence, 586-591 (2004).
Summary: Partial Memory Learning (PML) is a machine learning paradigm in which only a subset of cases generated from an original training set is used for classification. This paper concerns a new method for partial memory learning. The SBL-PM-M method is a completely new model. We evaluate the performance of the new algorithm on several real-world datasets and compare it to a few other PML systems and to the base classifier.
For the entire collection see [Zbl 1052.68007].

MSC:

68T05 Learning and adaptive systems in artificial intelligence

Software:

SBL-PM
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