Jay,

I understood your question, but I don't know any package with a classifier
that uses feedback as input.
I'm looking for something similar, but for regression.  If you find
something, please let me know.

André Rossi

2011/9/13 Jay <josip.2000@gmail.com>

> How does sequential classification differ form running a one-off
> classifier for each run?
> -> Because feedback from the previous round can and needs to be
> incorporated into the ext round.
>
>
> http://lmgtfy.com/?q=R+machine+learning
> -> That is a new low. I was hoping to get help, oblivious I was wrong
> to use this forum in the hopes of somebody had already battled these
> kinds of problems in R.
>
>
> On Sep 13, 1:52 am, Jason Edgecombe <ja...@rampaginggeek.com> wrote:
> > I already provided the link to the task view, which provides a list of
> > the more popular machine learning algorithms for R.
> >
> > Do you have a particular algorithm or technique in mind? Does it have a
> > name?
> >
> > How does sequential classification differ form running a one-off
> > classifier for each run?
> >
> > On 09/12/2011 05:24 AM, Jay wrote:
> >
> >
> >
> > > In my mind this sequential classification task with feedback is
> > > somewhat different from an completely offline, once-off,
> > > classification. Am I wrong?
> > > However, it looks like the mentality on this topic is to refer me to
> > > cran/google in order to look for solutions myself. Oblivious I know
> > > about these sources, and as I said, I used rseek.org among other
> > > sources to look for solutions. I did not start this topic for fun, I'm
> > > asking for help to find a suitable machine learning packages that
> > > readily incorporates feedback loops and online learning. If somebody
> > > has experience these kinds of problems in R, please respond.
> >
> > > Or will
> > > "http://cran.r-project.org
> > > Look for 'Task Views'"
> > > be my next piece of advice?
> >
> > > On Sep 12, 11:31 am, Dennis Murphy<djmu...@gmail.com>  wrote:
> > >>http://cran.r-project.org/web/views/
> >
> > >> Look for 'machine learning'.
> >
> > >> Dennis
> >
> > >> On Sun, Sep 11, 2011 at 11:33 PM, Jay<josip.2...@gmail.com>  wrote:
> > >>> If the answer is so obvious, could somebody please spell it out?
> > >>> On Sep 11, 10:59 pm, Jason Edgecombe<ja...@rampaginggeek.com>
>  wrote:
> > >>>> Try this:
> > >>>>http://cran.r-project.org/web/views/MachineLearning.html
> > >>>> On 09/11/2011 12:43 PM, Jay wrote:
> > >>>>> Hi,
> > >>>>> I used the rseek search engine to look for suitable solutions,
> however
> > >>>>> as I was unable to find anything useful, I'm asking for help.
> > >>>>> Anybody have experience with these kinds of problems? I looked into
> > >>>>> dynaTree, but as information is a bit scares and as I understand
> it,
> > >>>>> it might not be what I'm looking for..(?)
> > >>>>> BR,
> > >>>>> Jay
> > >>>>> On Sep 11, 7:15 pm, David Winsemius<dwinsem...@comcast.net>
>  wrote:
> > >>>>>> On Sep 11, 2011, at 11:42 AM, Jay wrote:
> > >>>>>>> What R packages are available for performing classification
> tasks?
> > >>>>>>> That is, when the predictor has done its job on the dataset
> (based on
> > >>>>>>> the training set and a range of variables), feedback about the
> true
> > >>>>>>> label will be available and this information should be integrated
> for
> > >>>>>>> the next classification round.
> > >>>>>> You should look at CRAN Task Views. Extremely easy to find from
> the
> > >>>>>> main R-project page.
> > >>>>>> --
> > >>>>>> David Winsemius, MD
> > >>>>>> West Hartford, CT
> > >>>>>> ______________________________________________
> > >>>>>> R-h...@r-project.org mailing listhttps://
> stat.ethz.ch/mailman/listinfo/r-help
> > >>>>>> PLEASE do read the posting guidehttp://
> www.R-project.org/posting-guide.html
> > >>>>>> and provide commented, minimal, self-contained, reproducible code.
> > >>>>> ______________________________________________
> > >>>>> R-h...@r-project.org mailing list
> > >>>>>https://stat.ethz.ch/mailman/listinfo/r-help
> > >>>>> PLEASE do read the posting guidehttp://
> www.R-project.org/posting-guide.html
> > >>>>> and provide commented, minimal, self-contained, reproducible code.
> > >>>> ______________________________________________
> > >>>> R-h...@r-project.org mailing listhttps://
> stat.ethz.ch/mailman/listinfo/r-help
> > >>>> PLEASE do read the posting guidehttp://
> www.R-project.org/posting-guide.html
> > >>>> and provide commented, minimal, self-contained, reproducible code.
> > >>> ______________________________________________
> > >>> R-h...@r-project.org mailing list
> > >>>https://stat.ethz.ch/mailman/listinfo/r-help
> > >>> PLEASE do read the posting guidehttp://
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> > >>> and provide commented, minimal, self-contained, reproducible code.
> > >> ______________________________________________
> > >> R-h...@r-project.org mailing listhttps://
> stat.ethz.ch/mailman/listinfo/r-help
> > >> PLEASE do read the posting guidehttp://
> www.R-project.org/posting-guide.html
> > >> and provide commented, minimal, self-contained, reproducible code.
> > > ______________________________________________
> > > R-h...@r-project.org mailing list
> > >https://stat.ethz.ch/mailman/listinfo/r-help
> > > PLEASE do read the posting guidehttp://
> www.R-project.org/posting-guide.html
> > > and provide commented, minimal, self-contained, reproducible code.
> >
> > ______________________________________________
> > R-h...@r-project.org mailing listhttps://
> stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guidehttp://
> www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
> ______________________________________________
> R-help@r-project.org 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.
>

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