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PubMed · 10097015

Parity still isn't a generalisation problem.

R I Damper
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Abstract

Clark & Thornton take issue with my claim that parity is not a generalisation problem, and that nothing can be inferred about back-propagation in particular, or learning in general, from failures of parity generalisation. They advance arguments to support their contention that generalisation is a relevant issue. In this continuing commentary, I examine generalisation more closely in order to refute these arguments. Different learning algorithms will have different patterns of failure: back-propagation has no special status in this respect. This is not to deny that a particular algorithm might fortuitously happen to produce the "intended" function in an (oxymoronic) parity-generalisation task.

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BibTeXRIS

R I Damper. 1998. Parity still isn't a generalisation problem.. https://doi.org/10.1017/s0140525x98211204

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