Abstract
This paper presents a new extension of the AdaBoost algorithm. This extension concerns the weights used in this algorithm. In our approach the original weights are modified, we propose a linear modification of the weights. In our study we use the boosting by the reweighting method where each weak classifier is based on the linear classifier. The described algorithm was tested on Pima data set. The obtained results are compared with the original the AdaBoost algorithm.
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Acknowledgments
This work was supported by the statutory funds of the Department of Systems and Computer Networks, Wroclaw University of Science and Technology.
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Burduk, R. (2018). The AdaBoost Algorithm with Linear Modification of the Weights. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 9. IP&C 2017. Advances in Intelligent Systems and Computing, vol 681. Springer, Cham. https://doi.org/10.1007/978-3-319-68720-9_11
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DOI: https://doi.org/10.1007/978-3-319-68720-9_11
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Online ISBN: 978-3-319-68720-9
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