[R] On-line machine learning packages?

[Jay]

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... at 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... at 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... at gmail.com>  wrote:
> >>> If the answer is so obvious, could somebody please spell it out?
> >>> On Sep 11, 10:59 pm, Jason Edgecombe<ja... at 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... at 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... at 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... at 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... at 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... at 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... at 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... at 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... at 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.