[R] On-line machine learning packages?

Jason Edgecombe jason at rampaginggeek.com
Tue Sep 13 00:52:47 CEST 2011


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
>>>>>> ______________________________________________
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>>>>>> 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
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>>>>> 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-help at 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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