Object
Title: Combined classifier based on feature space partitioning
Contributor:
Cordón, Oskar - ed. ; Kazienko, Przemysław - ed.
Subtitle:
Hybrid and Ensemble Methods in Machine Learning
Group publication title:
Abstract:
This paper presents a significant modification to the AdaSS (Adaptive Splitting and Selection) algorithm, which was developed several years ago. The method is based on the simultaneous partitioning of the feature space and an assignment of a compound classifier to each of the subsets. ; The original version of the algorithm uses a classifier committee and a majority voting rule to arrive at a decision. The proposed modification replaces the fairly simple fusion method with a combined classifier, which makes a decision based on a weighted combination of the discriminant functions of the individual classifiers selected for the committee. ; The weights mentioned above are dependent not only on the classifier identifier, but also on the class number. The proposed approach is based on the results of previous works, where it was proven that such a combined classifier method could achieve significantly better results than simple voting systems. ; The proposed modification was evaluated through computer experiments, carried out on diverse benchmark datasets. The results are very promising in that they show that, for most of the datasets, the proposed method outperforms similar techniques based on the clustering and selection approach.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
DOI:
Pages:
Source:
AMCS, Volume 22, Number 4 (2012) ; click here to follow the link
Language:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
- Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2012)
Last modified:
Oct 14, 2021
In our library since:
Sep 15, 2021
Number of object content hits:
110
All available object's versions:
https://www.zbc.uz.zgora.pl/publication/65813
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International Journal of Applied Mathematics and Computer Science (AMCS)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 24 (2014)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 23 (2013)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22 (2012)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22, number 1 (2012)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22, number 2 (2012)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22, number 3 (2012)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22, number 4 (2012)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 24 (2014)
| Edition name | Date |
|---|---|
| Combined classifier based on feature space partitioning | Oct 14, 2021 |
