Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes

Andrew W. Moore, Jeff G. Schneider. Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes. In Adnan Darwiche, Nir Friedman, editors, UAI 02, Proceedings of the 18th Conference in Uncertainty in Artificial Intelligence, University of Alberta, Edmonton, Alberta, Canada, August 1-4, 2002. pages 360-369, Morgan Kaufmann, 2002.

@inproceedings{MooreS02,
  title = {Real-valued All-Dimensions Search: Low-overhead Rapid Searching over Subsets of Attributes},
  author = {Andrew W. Moore and Jeff G. Schneider},
  year = {2002},
  tags = {search},
  researchr = {https://researchr.org/publication/MooreS02},
  cites = {0},
  citedby = {0},
  pages = {360-369},
  booktitle = {UAI  02, Proceedings of the 18th Conference in Uncertainty in Artificial Intelligence, University of Alberta, Edmonton, Alberta, Canada, August 1-4, 2002},
  editor = {Adnan Darwiche and Nir Friedman},
  publisher = {Morgan Kaufmann},
  isbn = {1-55860-897-4},
}