An Ensemble Of Weighted Support Vector Machines For Ordinal Regression

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(PDF) An ensemble of weighted support vector machines for ...

    https://www.researchgate.net/publication/228350235_An_ensemble_of_weighted_support_vector_machines_for_ordinal_regression
    The Support Vector Machine with Ordered Partitions (SV- MOP classifier) is an ensemble of weighted support vector machines for ordinal regression proposed in [25], based on Frank & Hall binary ...

An ensemble of Weighted Support Vector Machines for ...

    http://www.idc-online.com/technical_references/pdfs/electrical_engineering/An%20ensemble%20of.pdf
    An ensemble of Weighted Support Vector Machines for Ordinal Regression Willem Waegeman, and Luc Boullart Abstract—Instead of traditional (nominal) classification we inves- tigate the subject of ordinal classification or ranking.

An ensemble of Weighted Support Vector Machines for ...

    https://users.ugent.be/~wwaegemn/icnn.pdf
    An ensemble of Weighted Support Vector Machines for Ordinal Regression Willem Waegeman, Luc Boullart Abstract—Instead of traditional (nominal) classification we inves-tigate the subject of ordinal classification or ranking. An enhanced method based on an ensemble of Support Vector Machines (SVM’s) is proposed.

An ensemble of Weighted Support Vector Machines for ...

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.7093
    method based on an ensemble of Support Vector Machines (SVM’s) is proposed. Each binary classifier is trained with specific weights for each object in the training data set. Experiments on benchmark datasets and synthetic data indicate that the performance of our approach is comparable to state of the art kernel methods for ordinal regression.

An ensemble of weighted support vector machines for ...

    https://biblio.ugent.be/publication/353672
    Waegeman, W., & Boullart, L. (2006). An ensemble of weighted support vector machines for ordinal regression. In C. Ardil (Ed.), Proceedings of World Academy of Science Engineering and Technology (Vol. 12, pp. 71–75). Presented at the Conference of the World Academy of Science Engineering and Technology, Canakkale, Turkey: World Academy of Science, Engineering and Technology (WASET).Cited by: 30

An ensemble of Weighted Support Vector Machines for ...

    http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.120.2
    An ensemble of Weighted Support Vector Machines for Ordinal Regression ... ensemble of Weighted Support Vector Machines for Ordinal Regression}, year = {}} Share. OpenURL . Abstract. Abstract — Instead of traditional (nominal) classification we investigate. Keyphrases. ordinal regression weighted support vector machine ...

GitHub - ayrna/orca: Ordinal Regression and Classification ...

    https://github.com/ayrna/orca
    Jul 23, 2019 · [4] W. Waegeman and L. Boullart, “An ensemble of weighted support vector machines for ordinal regression,” International Journal of Computer Systems Science and …

Multilevel Weighted Support Vector Machine for ...

    https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0155119
    The adaptation of cost-sensitive learning with the regular SVM is known as weighted support vector machine (WSVM , also termed as Fuzzy SVM) . The main idea is to consider weighting scheme in learning such that the WSVM algorithm builds the decision hyperplane based on the relative contribution of data points in training.Cited by: 21

An ensemble of weighted support vector machines for ... - CORE

    https://core.ac.uk/display/55738258
    Instead of traditional (nominal) classification we investigate the subject of ordinal classification or ranking. An enhanced method based on an ensemble of Support Vector Machines (SVM's) is proposed. Each binary classifier is trained with specific weights for each object in the training data set.Author: Willem Waegeman and Luc Boullart

Ordinal Regression Review - uco.es

    http://www.uco.es/grupos/ayrna/orreview
    [4] W. Waegeman and L. Boullart, “An ensemble of weighted support vector machines for ordinal regression,” International Journal of Computer Systems Science and Engineering, vol. 3, …



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