Solving Complex Machine Learning problems with Ensemble Methods
Posted by holec.
Anomaly Detection by Bagging |
Tomas Pevny |
Prototype Support Vector Machines: Supervised Classification in Complex Datasets |
April Shen and Andrea Danyluk |
Local Neighbourhood in Generalizing Bagging for Imbalanced Data |
Jerzy Błaszczyński, Jerzy Stefanowski and Marcin Szajek |
An Ensemble Approach to Combining Expert Opinions |
Hua Zhang, Evgueni Smirnov, Nikolay Nikolaev, Georgi Nalbantov and Ralf Peeters |
An Empirical Comparison of Supervised Ensemble Learning Approaches |
Mohamed Bibimoune, Haytham Elghazel and Alex Aussem |
Clustering Ensemble on Reduced Search Spaces |
Sandro Vega-Pons and Paolo Avesani |
Software Reliability prediction via two different implementations of Bayesian model averaging |
Alex Sarishvili and Gerrit Hanselmann |
Multi-Space Learning for Image Classification Using AdaBoost and Markov Random Fields |
Wenrong Zeng, Xue-Wen Chen, Hong Cheng and Jing Hua |
Efficient semi-supervised feature selection by an ensemble approach |
Mohammed Hindawi, Haytham Elghazel and Khalid Benabdeslem |
Identification of Statistically Significant Features from Random Forests |
Jérôme Paul, Michel Verleysen and Pierre Dupont |
Feature ranking for multi-label classification using predictive clustering trees |
Dragi Kocev, Ivica Slavkov and Sašo Džeroski |