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ORCIDCIEL 2014: Orlando, FL, USA
- 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, CIEL 2014, Orlando, FL, USA, December 9-12, 2014. IEEE 2014, ISBN 978-1-4799-4512-2
CIEL'14 Session 1: Ensemble Classifiers
- Bartosz Krawczyk, Michal Wozniak
:
Experiments on simultaneous combination rule training and ensemble pruning algorithm. 1-6 - Uwe Knauer, Udo Seiffert:
Fast image segmentation based on boosted random forests, integral images, and features on demand. 7-12 - C. Venkata Krishna Veni, Timmappareddy Sobha Rani:
Ensemble based classification using small training sets : A novel approach. 13-20
CIEL'14 Session 2: Ensemble Predictors
- Xueheng Qiu, Le Zhang, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Ensemble deep learning for regression and time series forecasting. 21-26 - Pavel Kordík, Ján Cerný:
Building predictive models in two stages with meta-learning templates optimized by genetic programming. 27-34 - Ye Ren, Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan:
Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting. 35-40 - Tanmoy Dam, Alok Kanti Deb:
TS fuzzy model identification by a novel objective function based fuzzy clustering algorithm. 41-47
CIEL'14 Session 3: Ensemble Optimization
- Khairul Anwar, Mohammed A. Awadallah, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar:
Hyper-heuristic approach for solving nurse rostering problem. 48-53 - Jacomine Grobler, Andries P. Engelbrecht, Graham Kendall, Venkata S. S. Yadavalli:
The entity-to-algorithm allocation problem: extending the analysis. 54-61 - Mahdi Amina, Francesco Masulli, Stefano Rovetta:
Genetic algorithm-based neural error correcting output classifier. 62-67
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