New Generation Computing
Volume 29, Issue 3, July 2011
Special Issue on Hybrid and Ensemble Methods in Machine Learning

O. Cordón, P. Kazienko, B. Trawinski (Eds.)

Table of Contents

Special Issue on Hybrid and Ensemble Methods in Machine Learning
O. Cordón, P. Kazienko, B. Trawinski
p. 241-244, doi: 10.1007/s00354-011-0300-3

Condition-based Maintenance with Multi-Target Classification Models
M. Last, A. Sinaiski, H. S. Subramania
p. 245-260, doi: 10.1007/s00354-010-0301-7

Function Approximation with Complex Neuro-Fuzzy System Using Complex Fuzzy Sets – A New Approach
C. Li, T.-W. Chiang
p. 261-276, doi: 10.1007/s00354-011-0302-1

Classification Performance of Bagging and Boosting Type Ensemble Methods with Small Training Sets
M. F. Zaman, H. Hirose
p. 277-292, doi: 10.1007/s00354-011-0303-0

Boosting-based Sequential Output Prediction
T. Kajdanowicz, P. Kazienko
p. 293-307, doi: 10.1007/s00354-010-0304-4

Selection of Heterogeneous Fuzzy Model Ensembles Using Self-adaptive Genetic Algorithms
M. Smetek, B. Trawinski
p. 309-327, doi: 10.1007/s00354-010-0305-3

Hybrid Classification Ensemble Using Topology-preserving Clustering
B. Baruque, S. Porras, E. Corchado
p. 329-344, doi: 10.1007/s00354-011-0306-x