17 January 2019

Active Learning

Active Learning Approaches:
  • Pool-based Sampling
  • Member Query Synthesis
  • Stream-based Selective Sampling
  • Uncertainty Sampling
  • Query-by-Committee
  • Expected Model Change
  • Expected Error Reduction
  • Variance Reduction
  • Density-Weighted Methods
  • Query from Diverse Subspaces
  • Exponential Gradient Exploration
  • Balance Exploration and Exploitation