DocumentCode
1034479
Title
On the sample complexity of PAC learning half-spaces against the uniform distribution
Author
Long, Philip M.
Author_Institution
Res. Triangle Inst., Research Triangle Park, NC, USA
Volume
6
Issue
6
fYear
1995
fDate
11/1/1995 12:00:00 AM
Firstpage
1556
Lastpage
1559
Abstract
We prove an Ω(d/ε+1/εlog1/δ) lower bound on the PAC (probably approximately correct) learning sample complexity of learning half-spaces against the uniform distribution on the unit ball in Rd
Keywords
computational complexity; learning (artificial intelligence); neural nets; probability; PAC learning; half-spaces; lower bound; probability distribution; probably approximately correct learning; sample complexity; Discrete wavelet transforms; Feedforward neural networks; Information analysis; Information processing; Network synthesis; Neural networks; Notice of Violation; Time frequency analysis; Wavelet analysis; Wavelet transforms;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.471352
Filename
471352
Link To Document