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<br>look at: http://www.cs.utah.edu/~hal/SVMseq/<br><br>this works but is a little slow and would benefit by being updated to <br>use the bytestring library.<br><br>and generic data clustering ...<br><br>http://www.cs.utah.edu/~hal/GDC/<br><br>> From: ketil@malde.org<br>> To: hectorg87@gmail.com<br>> Subject: Re: [Haskell-cafe] Machine Learning Library (SVM)<br>> Date: Wed, 25 Nov 2009 07:56:08 +0100<br>> CC: haskell-cafe@haskell.org<br>> <br>> "Hector Guilarte" <hectorg87@gmail.com> writes:<br>> <br>> > Ketil, has any progress been made on that library? Specially in the<br>> > SVM part which is what I'm really looking for... <br>> <br>> No, the SoC ticket was not funded, and I am not aware of any other<br>> Haskell implementation of SVMs (and if there is one, I'm sure it will be<br>> pointed out on this list).<br>> <br>> -k<br>> -- <br>> If I haven't seen further, it is by standing in the footprints of giants<br>> _______________________________________________<br>> Haskell-Cafe mailing list<br>> Haskell-Cafe@haskell.org<br>> http://www.haskell.org/mailman/listinfo/haskell-cafe<br>                                            <br /><hr />Head to the Daily Blob on Windows Live <a href='http://windowslive.ninemsn.com.au/blog.aspx' target='_new'>For more of what happens online</a></body>
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