Yu-Quan Zhu

Learn More
Dynamic ensemble learning methods explore the use of different classifiers for different samples, therefore, may get better generalization ability than static ensemble learning methods. However, for most of dynamic approaches based on KNN rule, it needs to take out additional part of training samples to estimate " local classification performance " of each(More)
  • 1