Recursive SVM Based on TEDA

Dmitry Kangin, Plamen P. Angelov. Recursive SVM Based on TEDA. In Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos, editors, Statistical Learning and Data Sciences - Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Volume 9047 of Lecture Notes in Computer Science, pages 156-168, Springer, 2015. [doi]

@inproceedings{KanginA15,
  title = {Recursive SVM Based on TEDA},
  author = {Dmitry Kangin and Plamen P. Angelov},
  year = {2015},
  doi = {10.1007/978-3-319-17091-6_11},
  url = {http://dx.doi.org/10.1007/978-3-319-17091-6_11},
  researchr = {https://researchr.org/publication/KanginA15},
  cites = {0},
  citedby = {0},
  pages = {156-168},
  booktitle = {Statistical Learning and Data Sciences - Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings},
  editor = {Alexander Gammerman and Vladimir Vovk and Harris Papadopoulos},
  volume = {9047},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-17090-9},
}