Pruning algorithms-a survey

@article{Reed1993PruningAS,
  title={Pruning algorithms-a survey},
  author={Russell Reed},
  journal={IEEE transactions on neural networks},
  year={1993},
  volume={4 5},
  pages={740-7}
}
A rule of thumb for obtaining good generalization in systems trained by examples is that one should use the smallest system that will fit the data. Unfortunately, it usually is not obvious what size is best; a system that is too small will not be able to learn the data while one that is just big enough may learn very slowly and be very sensitive to initial conditions and learning parameters. This paper is a survey of neural network pruning algorithms. The approach taken by the methods described… CONTINUE READING
Highly Influential
This paper has highly influenced 25 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Recent Discussions
This paper has been referenced on Twitter 3 times over the past 90 days. VIEW TWEETS

From This Paper

Topics from this paper.
619 Citations
0 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 619 extracted citations

Similar Papers

Loading similar papers…