Reproducibility and Experimental Design for Machine Learning on Audio and Multimedia Data

@article{Friedland2019ReproducibilityAE,
  title={Reproducibility and Experimental Design for Machine Learning on Audio and Multimedia Data},
  author={G. Friedland},
  journal={Proceedings of the 27th ACM International Conference on Multimedia},
  year={2019}
}
  • G. Friedland
  • Published 2019
  • Computer Science
  • Proceedings of the 27th ACM International Conference on Multimedia
This tutorial provides an actionable perspective on the experimental design for machine learning experiments on multimedia data. The tutorial consists of lectures and hands-on exercises. The lectures provide a theoretical introduction to machine learning design and signal processing. The thought framework presented is derived from the traditional experimental sciences which require published results to be self-contained with regards to reproducibility. In the practical exercises, we will work… Expand
2 Citations
Reproducibility and Experimental Design for Machine Learning on Audio and Multimedia Data