Okay, I see the point now. Let me dig a bit deeper and I will get back soon.
Thanks for the comments.

Aditya Sarawgi
On Thu, Mar 1, 2012 at 2:06 AM, Ted Dunning <ted.dunning@gmail.com> wrote:
> No. By linear SVM, I mean SVM that does not use the kernel trick.
>
> This is like logistic regression SGD with a different gradient function.
> Same idea otherwise. Yes. This is a convex problem.
>
>
> On Wed, Feb 29, 2012 at 10:50 PM, Aditya Sarawgi <sarawgi.aditya@gmail.com
> > wrote:
>
>> So if I understand correctly, I think you mean that instead of having
>> multiple layers of svm
>> I just have 1 layer that gets the svm of the individual datasets and in
>> the reducer I get the
>> optimal of all. But is it guaranteed to give a global optima ?
>>
>> On Thu, Mar 1, 2012 at 1:37 AM, Ted Dunning <ted.dunning@gmail.com>wrote:
>>
>>> For linear SVM, gradient descent is a fine algorithm. If you go into
>>> this
>>> work, I would recommend that you implement an allreduce operation since
>>> iterated mapreduce is very inefficient.
>>>
>>> On Wed, Feb 29, 2012 at 10:30 PM, Aditya Sarawgi
>>> <sarawgi.aditya@gmail.com>wrote:
>>>
>>> > Hi,
>>> >
>>> > Thanks Todd for the pointer. I actually had one more paper in mind,
>>> and its
>>> > from
>>> > the original author of SVM
>>> > http://leon.bottou.org/publications/pdf/nips2004c.pdf
>>> >
>>> > I think this makes more sense for mapreduce. I am open to other
>>> suggestions
>>> > or
>>> > algorithms.
>>> >
>>> > Thanks
>>> > Aditya Sarawgi
>>> >
>>> > On Thu, Mar 1, 2012 at 1:04 AM, Todd Johnson <johnson.todd@gmail.com>
>>> > wrote:
>>> >
>>> > > The authors of that paper don't believe their algorithm is a good
>>> > candidate
>>> > > for mapreduce. See:
>>> > >
>>> >
>>> http://groups.google.com/group/psvm/browse_thread/thread/cedd3a6caef0f9c9#
>>> > >
>>> > > todd.
>>> > >
>>> > >
>>> > >
>>> > > On Wed, Feb 29, 2012 at 9:31 PM, Aditya Sarawgi <
>>> > sarawgi.aditya@gmail.com
>>> > > >wrote:
>>> > >
>>> > > > Hello,
>>> > > >
>>> > > > I am looking to implement psvm for Mahout as a part of of my
>>> > coursework.
>>> > > > The reference paper is
>>> > > > http://books.nips.cc/papers/files/nips20/NIPS2007_0435.pdf
>>> > > > and there is a implementation over
>>> http://code.google.com/p/psvm/which
>>> > > > uses MPI.
>>> > > > Any ideas, pointers are much appreciated.
>>> > > >
>>> > > > Thanks
>>> > > > Aditya Sarawgi
>>> > > >
>>> > >
>>> >
>>> >
>>> >
>>> > 
>>> > Cheers,
>>> > Aditya Sarawgi
>>> >
>>>
>>
>>
>>
>> 
>> Cheers,
>> Aditya Sarawgi
>>
>
>
