BOUNDING SAMPLE-SIZE WITH THE VAPNIK-CHERVONENKIS DIMENSION

被引：23
|
作者：
SHAWETAYLOR, J
ANTHONY, M
BIGGS, NL
机构：
[1] UNIV LONDON ROYAL HOLLOWAY & BEDFORD NEW COLL,DEPT MATH,EGHAM TW20 0EX,SURREY,ENGLAND
[2] UNIV LONDON LONDON SCH ECON & POLIT SCI,DEPT MATH SCI,LONDON WC2A 2AE,ENGLAND
来源：
DISCRETE APPLIED MATHEMATICS | 1993年 / 42卷 / 01期
关键词：
LEARNING; VAPNIK-CHERVONENKIS DIMENSION; PROBABLY APPROXIMATELY CORRECT (PAC); SAMPLE;
D O I：
10.1016/0166-218X(93)90179-R
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A proof that a concept class is learnable provided the Vapnik-Chervonenkis dimension is finite is given. The proof is more explicit than previous proofs and introduces two new parameters which allow bounds on the sample size obtained to be improved by a factor of approximately 4 log2(e).
引用
收藏
页码：65 / 73
页数：9
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