General Bounds on Statistical Query Learning and PAC Learning with Noise via Hypothesis Boosting-Reference-Cited by-同舟云学术

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General Bounds on Statistical Query Learning and PAC Learning with Noise via Hypothesis Boosting

Published:1998-03 Issue:2 Volume:141 Page:85-118
ISSN:0890-5401
Container-title:Information and Computation
language:en
Short-container-title:Information and Computation

Author:

Aslam Javed A.,Decatur Scott E.

Publisher

Elsevier BV

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,Theoretical Computer Science

Reference21 articles.

1. Computational learning theory: Survey and selected bibliography;Angluin,1992

2. Learning from noisy examples;Angluin;Mach. Learning,1988

3. Computational Learning Theory;Anthony,1992

4. Specification and simulation of statistical query algorithms for efficiency and noise tolerance;Aslam,1995

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalized Preference Learning for Trust Network Inference;IEEE Access;2019

2. Statistical Query Learning;Encyclopedia of Algorithms;2016

3. Statistical Query Learning (1998; Kearns);Encyclopedia of Algorithms;2014

4. A complete characterization of statistical query learning with applications to evolvability;Journal of Computer and System Sciences;2012-09

5. Studying the Hybridization of Artificial Neural Networks in HECIC;Advances in Computational Intelligence;2011

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