Corpus ID: 197497881

Modeling reverse thinking for machine learning

@article{Huihui2018ModelingRT,
  title={Modeling reverse thinking for machine learning},
  author={Li Hui-hui and Wen Guihua},
  journal={arXiv: Learning},
  year={2018}
}
  • Li Hui-hui, Wen Guihua
  • Published 2018
  • Computer Science, Mathematics
  • arXiv: Learning
  • Human inertial thinking schemes can be formed through learning, which are then applied to quickly solve similar problems later. However, when problems are significantly different, inertial thinking generally presents the solutions that are definitely imperfect. In such cases, people will apply creative thinking, such as reverse thinking, to solve problems. Similarly, machine learning methods also form inertial thinking schemes through learning the knowledge from a large amount of data. However… CONTINUE READING

    Figures, Tables, and Topics from this paper.