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.2...@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:// > 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:// > 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. > [[alternative HTML version deleted]]
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