Parity learning
Parity learning is a problem in machine learning. An algorithm that solves this problem must find a function ƒ, given some samples (x, ƒ(x)) and the assurance that ƒ computes the parity of bits at some fixed locations. The samples are generated using some distribution over the input. The problem is easy to solve using Gaussian elimination provided that a sufficient number of samples (from a distribution which is not too skewed) are provided to the algorithm.
Wikipage disambiguates
Wikipage redirect
Link from a Wikipage to another Wikipage
primaryTopic
Parity learning
Parity learning is a problem in machine learning. An algorithm that solves this problem must find a function ƒ, given some samples (x, ƒ(x)) and the assurance that ƒ computes the parity of bits at some fixed locations. The samples are generated using some distribution over the input. The problem is easy to solve using Gaussian elimination provided that a sufficient number of samples (from a distribution which is not too skewed) are provided to the algorithm.
has abstract
Parity learning is a problem i ...... are provided to the algorithm.
@en
Link from a Wikipage to an external page
Wikipage page ID
23,864,280
page length (characters) of wiki page
Wikipage revision ID
989,538,871
Link from a Wikipage to another Wikipage
wikiPageUsesTemplate
subject
hypernym
type
comment
Parity learning is a problem i ...... are provided to the algorithm.
@en
label
Parity learning
@en