Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms
R. Gavalda, O. Watanabe, Carlos Domingo
págs. 131-152
Advances in Instance Selection for Instance-Based Learning Algorithms
C. Mellish, H. Brighton
págs. 153-172
Likelihood-Based Data Squashing: A Modeling Approach to Instance Construction
W. DuMouchel, D. Madigan, N. Raghavan
págs. 173-190
A Unifying View on Instance Selection
T. Reinartz
págs. 191-210
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