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ACQUIRING AND COMBINING OVERLAPPING CONCEPTS
DOI:10.1007/BF00993176.png)
摘要
En 中文
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.
Keyword:
CONCEPT FORMATION
OVERLAPPING CONCEPTS
CONCEPTUAL COMBINATION
INCREMENTAL ALGORITHMS
期刊
IF:
2.9
论文数:
2.7K
被引数:
3.4W
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