Searching for "Learnability in the Presence of Noise." – sorted by Relevance.
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Learning Logic Programs with Random Classification Noise
- polynomially PAC learnable in the presence of noise. We point out that the sample size can be decreased
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Noise-tolerant learning, the parity problem, and the Statistical Query model
- is a strict subset of those problems learnable in the presence of noise in the PAC model. A natural
- Cited by 45 (1 self) – Add To MetaCart
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Noise-tolerant learning, the parity problem, and the Statistical Query model
- learnable in the presence of noise in the PAC model. In coding-theory terms, what we give is a poly
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Some Discriminant-Based PAC Algorithms
- that learnability in the presence of uniform misclassification noise. Learnability with Statistical Queries (Kearns
- Cited by 5 (2 self) – Add To MetaCart
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Noise Tolerant Learning Using Early Predictors
- in the presence of noise. It turns out that many concept classes known to be efficiently learnable in the PAC
- Cited by 3 (3 self) – Add To MetaCart
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A Universal Noise Cleaning Procedure via the Dual Learning Problem
- in the presence of labeling noise [3]. Our main result forms a link between the ability to learn in the presence
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Knowledge acquisition in statistical learning theory
- parameters are known that distinguish between classes that are learnable in the presence of noise and those
- Cited by 2 (0 self) – Add To MetaCart
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Noise Tolerant Algorithms for Learning and Searching
- the function classes known to be learnable in the presence of noise, Kearns’ technique does not constitute a
- Cited by 3 (0 self) – Add To MetaCart
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Noise Tolerant Algortihms for Learning and Searching
- the function classes known to be learnable in the presence of noise, Kearns' technique does not constitute a
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Statistical Queries and Faulty PAC Oracles
- PAC learnable, were learnable in the presence of noise. Kearns [12] showed that efficient learning
- Cited by 37 (6 self) – Add To MetaCart

