An Empirical Investigation of Brute Force to choose Features, Smoothers and Function Approximators

Andrew Moore, D. J. Hill, and M. P . Johnson
Computational Learning Theory and Natural Learning Systems, Vol. 3, 1994


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Notes
Associated Lab(s) / Group(s): Auton Lab
Associated Project(s): Auton Project
Number of pages: 20

Text Reference
Andrew Moore, D. J. Hill, and M. P . Johnson, "An Empirical Investigation of Brute Force to choose Features, Smoothers and Function Approximators," Computational Learning Theory and Natural Learning Systems, Vol. 3, 1994

BibTeX Reference
@article{Moore_1994_2152,
   author = "Andrew Moore and D. J. Hill and M. P . Johnson",
   editor = "S. Hanson, S. Judd, and T. Petsche",
   title = "An Empirical Investigation of Brute Force to choose Features, Smoothers and Function Approximators",
   journal = "Computational Learning Theory and Natural Learning Systems",
   publisher = "MIT Press",
   year = "1994",
   volume = "3",
}