Network structural optimization based on swarm intelligence for highlevel classification
Carneiro MG, Zhao L, Cheng R, Jin Y (2016)
In: 2016 International Joint Conference on Neural Networks (IJCNN). IEEE: 3737-3744.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Carneiro, Murillo G.;
Zhao, Liang;
Cheng, Ran;
Jin, YaochuUniBi ![](https://pub.uni-bielefeld.de/images/icon_orcid.png)
![](https://pub.uni-bielefeld.de/images/icon_orcid.png)
Abstract / Bemerkung
While most part of the complex network models are described in function of some growth mechanism, the optimization of a goal or certain characteristics can be desirable for some problems. This paper investigates structural optimization of networks in the highlevel classification context, where the classification produced by a traditional classifier is combined with the classification provided by complex network measures. Using the recently proposed social learning particle swarm optimization (SL-PSO), a bio-inspired optimization framework, which is responsible to build up the network and adjust the parameters of the hybrid model while conducting the optimization of a quality function, is proposed. Experiments on two real-world problems, the Handwritten Digits Recognition and the Semantic Role Labeling (SRL), were performed. In both problems, the optimization framework is able to improve the classification given by a state-of-the-art algorithm to SRL. Furthermore, the optimization framework proposed here can be extended to other machine learning tasks.
Erscheinungsjahr
2016
Titel des Konferenzbandes
2016 International Joint Conference on Neural Networks (IJCNN)
Seite(n)
3737-3744
Konferenz
2016 International Joint Conference on Neural Networks (IJCNN)
Konferenzort
Vancouver, BC, Canada
Konferenzdatum
2016-07-24 – 2016-07-29
eISBN
978-1-5090-0620-5
Page URI
https://pub.uni-bielefeld.de/record/2978515
Zitieren
Carneiro MG, Zhao L, Cheng R, Jin Y. Network structural optimization based on swarm intelligence for highlevel classification. In: 2016 International Joint Conference on Neural Networks (IJCNN). IEEE; 2016: 3737-3744.
Carneiro, M. G., Zhao, L., Cheng, R., & Jin, Y. (2016). Network structural optimization based on swarm intelligence for highlevel classification. 2016 International Joint Conference on Neural Networks (IJCNN), 3737-3744. IEEE. https://doi.org/10.1109/IJCNN.2016.7727681
Carneiro, Murillo G., Zhao, Liang, Cheng, Ran, and Jin, Yaochu. 2016. “Network structural optimization based on swarm intelligence for highlevel classification”. In 2016 International Joint Conference on Neural Networks (IJCNN), 3737-3744. IEEE.
Carneiro, M. G., Zhao, L., Cheng, R., and Jin, Y. (2016). “Network structural optimization based on swarm intelligence for highlevel classification” in 2016 International Joint Conference on Neural Networks (IJCNN) (IEEE), 3737-3744.
Carneiro, M.G., et al., 2016. Network structural optimization based on swarm intelligence for highlevel classification. In 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 3737-3744.
M.G. Carneiro, et al., “Network structural optimization based on swarm intelligence for highlevel classification”, 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, 2016, pp.3737-3744.
Carneiro, M.G., Zhao, L., Cheng, R., Jin, Y.: Network structural optimization based on swarm intelligence for highlevel classification. 2016 International Joint Conference on Neural Networks (IJCNN). p. 3737-3744. IEEE (2016).
Carneiro, Murillo G., Zhao, Liang, Cheng, Ran, and Jin, Yaochu. “Network structural optimization based on swarm intelligence for highlevel classification”. 2016 International Joint Conference on Neural Networks (IJCNN). IEEE, 2016. 3737-3744.