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Showing 1 to 2 of 2 for “"Category learning algorithms"”.
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Unsupervised syntactic category learning from child-directed speech
… results of three established automatic syntactic category learning algorithms on a small, edited input set of child-directed speech from the CHILDES database. Hierarchical clustering, K-Means analysis, and an implementation of a substitution algorithm are all used to assign syntactic categories to …
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Learning and representation of relational categories
Relation-based category learning is based on very different principles than feature-based category learning. It has been shown that relational categories are learned by a process akin to structured intersection discovery, which is formally powerful than feature-based associative learning, but which …