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searching for Generalization error 15 found (39 total)

Decision boundary (580 words) [view diff] exact match in snippet view article find links to article

boundary. Decision boundary instability can be incorporated with generalization error as a standard for selecting the most accurate and stable classifier

Rademacher complexity (3,326 words) [view diff] no match in snippet view article find links to article

In computational learning theory (machine learning and theory of computation), Rademacher complexity, named after Hans Rademacher, measures richness of

List of fallacies (6,904 words) [view diff] no match in snippet view article find links to article

subdivided into categories such as improper presumption, faulty generalization, error in assigning causation, and relevance, among others. The use of

Stability (learning theory) (2,656 words) [view diff] exact match in snippet view article

stability of a learning algorithm and showed that it implies low generalization error. Uniform hypothesis stability, however, is a strong condition that

With high probability (383 words) [view diff] no match in snippet view article find links to article

process for machine-learning in which the learned function has low generalization-error WHP. Gossip protocols: a communication protocol used in distributed

Double descent (923 words) [view diff] exact match in snippet view article find links to article

; Sompolinsky, Haim (2020-12-01). "High-dimensional dynamics of generalization error in neural networks". Neural Networks. 132: 428–446. doi:10.1016/j

Y.3181 (495 words) [view diff] exact match in snippet view article find links to article

accuracy of the output of the ML mechanism. In particular, reducing the generalization error is the main concern in applying any kind of Supervised Learning (SL)

Machine learning in bioinformatics (8,279 words) [view diff] exact match in snippet view article find links to article

classification or regression. As random forests give an internal estimate of generalization error, cross-validation is unnecessary. In addition, they produce proximities

Random projection (1,829 words) [view diff] exact match in snippet view article find links to article

ISBN 978-1-4244-2246-3. S2CID 206563812. Li, Xiaoyun; Li, Ping (2019). "Generalization error analysis of quantized compressive learning". 33rd International Conference

Prior-independent mechanism (1,142 words) [view diff] exact match in snippet view article find links to article

O(nt\ln(nt))} , which immediately translates to a bound on their generalization error and sample-complexity. They also prove bounds on the representation

Ensemble learning (6,685 words) [view diff] case mismatch in snippet view article find links to article

MacReady, William G. (1999). "An Efficient Method to Estimate Bagging's Generalization Error" (PDF). Machine Learning. 35 (1): 41–55. doi:10.1023/A:1007519102914

Random-sampling mechanism (2,241 words) [view diff] exact match in snippet view article find links to article

O(nt\ln(nt))} , which immediately translates to a bound on their generalization error and sample-complexity. They also prove bounds on the representation

Neural network (machine learning) (17,636 words) [view diff] exact match in snippet view article

presence of over-training and to select hyperparameters to minimize the generalization error. The second is to use some form of regularization. This concept emerges

Neural tangent kernel (5,146 words) [view diff] exact match in snippet view article find links to article

regression. Recent works have derived equations describing the expected generalization error of high-dimensional kernel regression; these results immediately

Physics-informed neural networks (4,808 words) [view diff] exact match in snippet view article find links to article

Mishra, Siddhartha; Molinaro, Roberto (2021-04-01). "Estimates on the generalization error of Physics Informed Neural Networks (PINNs) for approximating a class