Learning what we don't care about: anti-training with sacrificial functions

DOI10.1016/j.ins.2019.05.018zbMath1451.68222OpenAlexW2944598670WikidataQ127886225 ScholiaQ127886225MaRDI QIDQ2215057

Gregory Ditzler, Jerzy Rozenblit, Sean T. Miller

Publication date: 10 December 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2019.05.018

zbMATH Keywords

multi-objective optimizationmodel selectionanti-training

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• C4.5

Cites Work

• Optimization by Simulated Annealing
• A batch ensemble approach to active learning with model selection
• Speeding Up Backpropagation Using Multiobjective Evolutionary Algorithms
• Evolutionary Multi-Criterion Optimization
• Gene selection for cancer classification using support vector machines
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