Parallel Random Prism: A Computationally Efficient Ensemble Learner for Classification

Frederic Stahl, David May, Max Bramer. Parallel Random Prism: A Computationally Efficient Ensemble Learner for Classification. In Max Bramer, Miltos Petridis, editors, Research and Development in Intelligent Systems XXIX, Incorporating Applications and Innovations in Intelligent Systems XX: Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, England, UK, December 11-13, 2012. pages 21-34, Springer, 2012. [doi]

@inproceedings{StahlMB12,
  title = {Parallel Random Prism: A Computationally Efficient Ensemble Learner for Classification},
  author = {Frederic Stahl and David May and Max Bramer},
  year = {2012},
  doi = {10.1007/978-1-4471-4739-8_2},
  url = {http://dx.doi.org/10.1007/978-1-4471-4739-8_2},
  researchr = {https://researchr.org/publication/StahlMB12},
  cites = {0},
  citedby = {0},
  pages = {21-34},
  booktitle = {Research and Development in Intelligent Systems XXIX, Incorporating Applications and Innovations in Intelligent Systems XX: Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, England, UK, December 11-13, 2012},
  editor = {Max Bramer and Miltos Petridis},
  publisher = {Springer},
  isbn = {978-1-4471-4739-8},
}