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» Hardness of Learning Halfspaces with Noise
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IJCAI
2007
13 years 6 months ago
Maximum Margin Coresets for Active and Noise Tolerant Learning
We study the problem of learning large margin halfspaces in various settings using coresets to show that coresets are a widely applicable tool for large margin learning. A large m...
Sariel Har-Peled, Dan Roth, Dav Zimak
COLT
2001
Springer
13 years 9 months ago
Agnostic Boosting
We prove strong noise-tolerance properties of a potential-based boosting algorithm, similar to MadaBoost (Domingo and Watanabe, 2000) and SmoothBoost (Servedio, 2003). Our analysi...
Shai Ben-David, Philip M. Long, Yishay Mansour
ACL
2009
13 years 3 months ago
Learning with Annotation Noise
It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always ra...
Eyal Beigman, Beata Beigman Klebanov
PERCOM
2008
ACM
14 years 4 months ago
A tamper-proof and lightweight authentication scheme
We present a tamper-proof and lightweight challenge-response authentication scheme based on 2-level noisy Physically Unclonable Functions (PUF). We present a security reduction, w...
Ghaith Hammouri, Erdinç Öztürk, Berk Sunar
FOCS
1999
IEEE
13 years 9 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala