Corpus ID: 34620390

Duality Between Feature and Similarity Models , Based on the Reproducing-Kernel Hilbert Space

@inproceedings{Jones2016DualityBF,
  title={Duality Between Feature and Similarity Models , Based on the Reproducing-Kernel Hilbert Space},
  author={M. Jones},
  year={2016}
}
There are two longstanding theoretical approaches to learning and concept representation, one based on features and one based on similarity. The feature approach has its roots in associative learning (e.g., Pavlov, 1927) and the idea that learning involves acquiring associations from individual cues to consequential outcomes or responses. Formal models of this learning process assume that any stimulus is decomposable into a set of features, and that learning involves adjusting the associative… Expand

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