Abstract is missing.
- Experiments on simultaneous combination rule training and ensemble pruning algorithmBartosz Krawczyk, Michal Wozniak. 1-6 [doi]
- Fast image segmentation based on boosted random forests, integral images, and features on demandUwe Knauer, Udo Seiffert. 7-12 [doi]
- Ensemble based classification using small training sets : A novel approachKrishnaveni C. Venkata, Sobha Rani Timmappareddy. 13-20 [doi]
- Ensemble deep learning for regression and time series forecastingXueheng Qiu, Le Zhang, Ye Ren, Ponnuthurai N. Suganthan, Gehan Amaratunga. 21-26 [doi]
- Building predictive models in two stages with meta-learning templates optimized by genetic programmingPavel Kordík, Ján Cerný. 27-34 [doi]
- Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecastingYe Ren, Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan. 35-40 [doi]
- TS fuzzy model identification by a novel objective function based fuzzy clustering algorithmTanmoy Dam, Alok Kanti Deb. 41-47 [doi]
- Hyper-heuristic approach for solving nurse rostering problemKhairul Anwar, Mohammed A. Awadallah, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar. 48-53 [doi]
- The entity-to-algorithm allocation problem: extending the analysisJacomine Grobler, Andries P. Engelbrecht, Graham Kendall, V. S. S. Yadavalli. 54-61 [doi]
- Genetic algorithm-based neural error correcting output classifierMahdi Amina, Francesco Masulli, Stefano Rovetta. 62-67 [doi]