Related Articles

  1. Home
  2. /
  3. Related Articles

  • Adankon, Mathias M., and Mohamed Cheriet. "Model selection for the LS-SVM. Application to handwriting recognition." Pattern Recognition 42, no. 12 (2009): 3264-3270.
  • Biem, Alain. "A model selection criterion for classification: Application to HMM topology optimization." In Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp. 104-108. IEEE, 2003.
  • Gomes, Carla P., and Bart Selman. "Algorithm portfolios." Artificial Intelligence 126, no. 1-2 (2001): 43-62.
  • Hospedales, Timothy, Antreas Antoniou, Paul Micaelli, and Amos Storkey. "Meta-learning in neural networks: A survey." arXiv preprint arXiv:2004.05439 (2020).
  • Hutter, Frank, Lars Kotthoff, and Joaquin Vanschoren. Automated machine learning: methods, systems, challenges. Springer Nature, 2019.
  • Lee, Kwonjoon, Subhransu Maji, Avinash Ravichandran, and Stefano Soatto. "Meta-learning with differentiable convex optimization." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10657-10665. 2019.
  • Leite, Rui, Pavel Brazdil, and Joaquin Vanschoren. "Selecting classification algorithms with active testing." In International workshop on machine learning and data mining in pattern recognition, pp. 117-131. Springer, Berlin, Heidelberg, 2012.
  • Lindauer, Marius, Holger H. Hoos, Frank Hutter, and Torsten Schaub. "Autofolio: An automatically configured algorithm selector." Journal of Artificial Intelligence Research 53 (2015): 745-778.
  • Loreggia, Andrea, Yuri Malitsky, Horst Samulowitz, and Vijay Saraswat. "Deep learning for algorithm portfolios." In Thirtieth AAAI Conference on Artificial Intelligence. 2016.
  • Mangan, Niall M., J. Nathan Kutz, Steven L. Brunton, and Joshua L. Proctor. "Model selection for dynamical systems via sparse regression and information criteria." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473, no. 2204 (2017): 20170009.
  • Mirhoseini, Azalia, Anna Goldie, Mustafa Yazgan, Joe Wenjie Jiang, Ebrahim Songhori, Shen Wang, Young-Joon Lee et al. "A graph placement methodology for fast chip design." Nature 594, no. 7862 (2021): 207-212.
  • Zhao, Peng, and Bin Yu. "On model selection consistency of Lasso." The Journal of Machine Learning Research 7 (2006): 2541-2563.