Identification and correction of mislabeled training data for land cover classification based on ensemble margin
暂无分享,去创建一个
[1] Robert E. Schapire,et al. The strength of weak learnability , 1990, Mach. Learn..
[2] Alessandro Sperduti,et al. A re-weighting strategy for improving margins , 2002, Artif. Intell..
[3] Samia Boukir,et al. Margin-based ordered aggregation for ensemble pruning , 2013, Pattern Recognit. Lett..
[4] Carla E. Brodley,et al. Identifying Mislabeled Training Data , 1999, J. Artif. Intell. Res..
[5] Robert Sabourin,et al. An empirical study on diversity measures and margin theory for ensembles of classifiers , 2007, 2007 10th International Conference on Information Fusion.
[6] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[7] Samia Boukir,et al. Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin , 2015 .
[8] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[9] Samia Boukir,et al. Classification of remote sensing data using margin-based ensemble methods , 2013, 2013 IEEE International Conference on Image Processing.
[10] Yoav Freund,et al. Boosting the margin: A new explanation for the effectiveness of voting methods , 1997, ICML.
[11] Samia Boukir,et al. Using ensemble margin to explore issues of training data imbalance and mislabeling on large area land cover classification , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[12] Mario Chica-Olmo,et al. An assessment of the effectiveness of a random forest classifier for land-cover classification , 2012 .
[13] Samia Boukir,et al. Ensemble margin framework for image classification , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[14] Nicholas C. Coops,et al. Aerial Photography: A Rapidly Evolving Tool for Ecological Management , 2010 .
[15] Choh-Man Teng,et al. Correcting Noisy Data , 1999, ICML.
[16] Samia Boukir,et al. Support Vectors Selection for Supervised Learning Using an Ensemble Approach , 2010, 2010 20th International Conference on Pattern Recognition.