Adaptive boosting techniques in heterogeneous and spatial databases
Aleksandar M Lazarević, Zoran Obradović · Intelligent Data Analysis · 2001
Combining multiple classifiers is an effective technique for improving classification accuracy by reducing the variance through manipulating the training data distributions. In many large-scale data analysis problems involving heterogeneous databases