Acquiring and Combining Overlapping Concepts

作者:Joel D. Martin, Dorrit O. Billman

摘要

This article presents OLOC, an incremental concept formation system that learns and uses overlapping concepts. OLOC learns probabilistic concepts that have overlapping extensions and does so to maximize expected predictive accuracy. When making predictions, OLOC can combine multiple overlapping concepts.

论文关键词:concept formation, overlapping concepts, conceptual combination, incremental algorithms

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论文官网地址:https://doi.org/10.1023/A:1022635003060