![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
CIEL 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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.