This book constitutes the refereed proceedings of the 12th International Workshop on Multiple Classifier Systems, MCS 2015, held in Günzburg, Germany, in June/July 2015. The 19 revised papers presented were carefully reviewed and selected from 25 submissions. The papers address issues in multiple classifier systems and ensemble methods, including pattern recognition, machine learning, neural network, data mining and statistics. They are organized in topical sections on theory and algorithms and application and evaluation.
Includes supplementary material: sn.pub/extras
Friedhelm Schwenker
Classification Classifier ensembles Classifier fusion Clustering Cost-sensitive Decision tree Ensemble learning Feature selection Feature weighting Kernel fusion Metalearning Movie genres Multi-class classification Parallel genetic algorithm Pattern recognition