| Caption | Cuplikan | Website | viewPdf |
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| A k nearest neighbours classifiers ensemble based on extended ... |
May 30, 2022 ... ... estimate is desired by the models ... OTE: Optimal Trees Ensembles for Regression, Classification and Class Membership Probability Estimation,. |
arxiv.org |
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| Ensemble of a subset of kNN classifiers |
Jan 22, 2016 ... ESKNN: ensemble of subset of K-nearest neighbours classifiers for classification and class member- ship probability estimation. http://cran ... |
d-nb.info |
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| Random‐projection ensemble classification |
ensemble of subset of K-nearest neighbours classifiers for classification and class membership probability estima- ... class membership probability estimation ... |
academic.oup.com |
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| MACHINE LEARNING [R17A0534] LECTURE NOTES MALLA ... |
The third family of machine learning algorithms is the probabilistic models. We have seen before that the k-nearest neighbour algorithm uses the idea of ... |
mrcet.com |
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| Ensemble of optimal trees, random forest and random projection ... |
May 27, 2019 ... ... Ensemble of subset of k-nearest neighbours models for class membership probability estimation. In: Analysis of large and complex data ... |
d-nb.info |
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| Optimal Trees Selection for Classification via Out-of-Bag ... |
Lausen, ''Ensemble of subset of k-nearest neighbours models for class membership probability estimation,'' in Analysis of Large and. Complex Data. Cham ... |
repository.essex.ac.uk |
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| A Weighted <italic>k</italic>-Nearest Neighbours Ensemble with ... |
Class label of the test point is estimated by taking a majority vote of the nearest observations' class labels. ... est neighbor models via multiple feature ... |
ieeexplore.ieee.org |
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| Ensemble of optimal trees, random forest and random projection ... |
May 27, 2019 ... The ensemble of probability estimation trees is used ... subset of k-nearest neighbours models for class membership probability estimation. |
repository.essex.ac.uk |
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| A k-Nearest Neighbours Based Ensemble via Optimal Model ... |
Jul 29, 2020 ... This paper suggests a novel ensemble procedure consisting of a class of base k-NN models each constructed on a bootstrap sample drawn from the ... |
ieeexplore.ieee.org |
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| Optimal weighted nearest neighbour classifiers |
it places equal weight on the class labels of each of the k nearest neighbours to the point x being classified. Intuitively, one would expect improvements ... |
projecteuclid.org |
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