![]() |
|
![]() |
![]() |
|
![]() |
![]() |
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
[Subscribe]
Re: DM: CHAID vs. CARTŪFrom: Nicolas Lachiche Date: Thu, 25 Sep 1997 11:56:06 -0400 (EDT)
>>>>> "Mike" == Mike Muratet <muratetm@nichols.com> writes:
> Organization: Nichols Research
> Ronny Kohavi wrote:
>> Since the theory says that it's impossible for one algorithm to
>> uniformly beat any other on generalization accuracy in
classification
>> tasks (where uniformly is for all possible target concepts), the
>> question is *when* (under what conditions) one algorithm is
better
>> than another, not *whether*.
>>
> Do you have a reference to the paper or book that describes such
a theory?
> Thanks.
> Mike
It seems to me the following article is a good reference on this
point:
@InProceedings{SCH94,
author = "Cullen Schaffer",
title = "A conservation law for generalization performance",
pages = "259-265",
booktitle = "Proceedings of the Eleventh International Conference
on Machine Learning (ICML'94)",
year = 1994,
publisher = "Morgan Kaufmann",
address = "New Brunswick, NJ"
}
Nicolas
|
MHonArc 2.2.0