Absolute convergence and error thresholds in non-active adaptive sampling

This publication has 9 references indexed in Scilit:

• Modeling of learning curves with applications to POS tagging
  Computer Speech & Language, 2017
• Boosting instance selection algorithms
  Knowledge-Based Systems, 2014
• A stopping criterion for active learning
  Computer Speech & Language, 2008
• Maximizing classifier utility when there are data acquisition and modeling costs
  Data Mining and Knowledge Discovery, 2007
• Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
  Data Mining and Knowledge Discovery, 2002
• An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
  Machine Learning, 1999
• A Subspace, Interior, and Conjugate Gradient Method for Large-Scale Bound-Constrained Minimization Problems
  SIAM Journal on Scientific Computing, 1999
• Bagging predictors
  Machine Learning, 1996
• The strength of weak learnability
  Machine Learning, 1990