Issue 3/2011
Hybrid and Ensemble Methods in Machine Learning: Guest Editors O. Cordón, P. Kazienko and B. Trawiński
Content (7 Articles)
Preface
Special Issue on Hybrid and Ensemble Methods in Machine Learning
Oscar Cordón, Przemysław Kazienko, Bogdan Trawiński
Condition-based Maintenance with Multi-Target Classification Models
Mark Last, Alla Sinaiski, Halasya Siva Subramania
Function Approximation with Complex Neuro-Fuzzy System Using Complex Fuzzy Sets – A New Approach
Chunshien Li, Tai-Wei Chiang
Classification Performance of Bagging and Boosting Type Ensemble Methods with Small Training Sets
M. Faisal Zaman, Hideo Hirose
Selection of Heterogeneous Fuzzy Model Ensembles Using Self-adaptive Genetic Algorithms
Magdalena Smȩtek, Bogdan Trawiński
Hybrid Classification Ensemble Using Topology-preserving Clustering
Bruno Baruque, Santiago Porras, Emilio Corchado