Found it from another paper:
importance sample learning ensemble (ISLE)
which originates from Friedman and Popescu (2003).
On 7/31/06, Weiwei Shi <[EMAIL PROTECTED]> wrote:
>
> Hi, Andy:
>
> What's the Jerry Friedman's ISLE? I googled it and did not find the paper
> on it. Could you give me a link, please?
>
> Thanks,
>
> Weiwei
>
>
> On 7/31/06, Eleni Rapsomaniki <[EMAIL PROTECTED]> wrote:
> >
> > Hello
> >
> > I've just realised attachments are not allowed, so the data for the
> > example in
> > my previous message is:
> >
> > pos.df=read.table("http://www.savefile.com/projects3.php?fid=6240314&pid=847249&key=119090
> > ",
> > header=T)
> >
> > neg.df=read.table("http://fs07.savefile.com/download.php?pid=847249&fid=9829834&key=362779
> > "",
> > header=T)
> >
> > And my last two questions (promise!):
> > The first is related to the order of columns (ie. explanatory
> > variables). I get
> > different order of importance for my variables depending on their order
> > in the
> > training data. Is there a parameter I could fiddle with (e.g. ntree) to
> > get a
> > more stable importance order?
> >
> > And finally, since interactions are not implemented, is there another
> > method I
> > could use in R to find dependencies among categorical variables? (lm
> > doesn't
> > accept categorical variables).
> >
> > Many thanks
> > Eleni Rapsomaniki
> > Birkbeck College, UK
> >
> > ______________________________________________
> > [email protected] mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> > http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
> >
>
>
>
> --
> Weiwei Shi, Ph.D
>
> "Did you always know?"
> "No, I did not. But I believed..."
> ---Matrix III
>
--
Weiwei Shi, Ph.D
"Did you always know?"
"No, I did not. But I believed..."
---Matrix III
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