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Towards robust SVM training from weakly labeled large ...
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由 M Kawulok 著作2015被引用 9 次 — In this paper, we propose a new memetic algorithm that evolves samples and labels to select a training set for support vector machines from large, weakly- ...
(PDF) Towards Robust SVM Training from Weakly Labeled ...
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Our extensive experimental study confirmed that the new method presents high robustness against weakly-labeled data and outperforms other state-of-the-art ...
Towards robust SVM training from weakly labeled large data sets
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This paper proposes a new memetic algorithm that evolves samples and labels to select a training set for support vector machines from large, weakly-labeled ...
Problem Outline Proposed approach Tuition operator ...
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Towards Robust SVM Training from Weakly. Labeled Large Data Sets. Michal Kawulok and Jakub Nalepa. Institute of Informatics, Silesian University of Technology ...
Towards robust SVM training from weakly labeled large ...
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由 M Kawulok 著作2015被引用 9 次 — In this paper, we propose a new memetic algorithm that evolves samples and labels to select a training set for support vector ma- chines from large, weakly- ...
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Evolving data-adaptive support vector machines for binary ...
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由 W Dudzik 著作2021被引用 39 次 — In this paper, we address the problem of optimizing SVMs for binary classification of difficult datasets, including very large and extremely imbalanced cases.
Selecting training sets for support vector machines: a review
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由 J Nalepa 著作2019被引用 403 次 — This review provides an extensive survey on existing methods for selecting SVM training data from large datasets.
Selecting training sets for support vector machines: a review
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由 J Nalepa 著作2019被引用 403 次 — This review provides an extensive survey on existing methods for selecting SVM training data from large datasets.
Randomized Sampling for Large Data Applications of SVM
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Towards robust SVM training from weakly labeled large data sets · M. KawulokJ ... Core Vector Machines: Fast SVM Training on Very Large Data Sets · I ...
Large-scale robust transductive support vector machines
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由 H Cevikalp 著作2017被引用 29 次 — In this paper, we propose a robust and fast transductive support vector machine (RTSVM) classifier that can be applied to large-scale data.
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