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An upper bound on the sample complexity of PAC-learning halfspaces with respect to the uniform distribution

✍ Scribed by Philip M. Long


Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
103 KB
Volume
87
Category
Article
ISSN
0020-0190

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✦ Synopsis


We show that halfspaces in n dimensions can be PAC-learned with respect to the uniform distribution with accuracy ε and confidence δ using O( 1 ε (n + log 1 δ )) examples.