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From Ted Dunning <tdunn...@veoh.com>
Subject Re: Mahout Machine Learning Project Launches
Date Wed, 06 Feb 2008 18:31:50 GMT

I don't think anybody has figured out how to patent the Lanczos algorithm
itself!


On 2/6/08 10:03 AM, "Peter W." <peter@marketingbrokers.com> wrote:

> Hello,
> 
> This is Mahout project seems very interesting.
> 
> Any problem that has reducibility components
> using mapreduce and can then be described as a
> linear equation would be excellent candidates.
> 
> Most Nutch developers probably don't need HMM
> but instead the power method to iterate over
> Markov chains or Perron-Frobenius.
> 
> However, some of that work as it pertains to
> the web has been patented so it would be more
> productive for the Hadoop community to focus
> on other areas such as adjacency matrices,
> SALSA or bipartite graphs using Hbase.
> 
> Bye,
> 
> Peter W.
> 
> 
> On Feb 2, 2008, at 3:43 AM, edward yoon wrote:
> 
>> I thought of Hidden Markov Models (HMM) as absolutely impossible on
>> MR model.
>> If anyone have some information, please let me know.
>> 
>> Thanks.
>> 
>> On 2/2/08, edward yoon <edward@udanax.org> wrote:
>>> I read an interesting piece of information in that NISP paper, and i
>>> was implemented but
>>> 
>>> Now, there's too much mailing-list for me to read.
>>> Lucene, Core, Hbase, Pig, Solr, Mahout ..... :(
>>> 
>>> Too distributed.
>>> 
>>> On 2/2/08, gopi <gopi.daiict@gmail.com> wrote:
>>>> I'm definitely excited about Machine Learning Algorithms being
>>>> implemented
>>>> into this project!
>>>> I'm currently a student studying a Machine Learning, and would
>>>> love to help
>>>> out in every possible manner.
>>>> 
>>>> Thanks
>>>> Chaitanya Sharma
>>>> 
>>>> On Jan 25, 2008 5:55 PM, Grant Ingersoll <gsingers@apache.org>
>>>> wrote:
>>>> 
>>>>> (Apologies for cross-posting)
>>>>> 
>>>>> The Lucene PMC is pleased to announce the creation of the Mahout
>>>>> Machine Learning project, located at http://lucene.apache.org/
>>>>> mahout.
>>>>> Mahout's goal is to create a suite of practical, scalable machine
>>>>> learning libraries.  Our initial plan is to utilize Hadoop (
>>>>> http://hadoop.apache.org
>>>>> ) to implement a variety of algorithms including naive bayes,
>>>>> neural
>>>>> networks, support vector machines and k-Means, among others.  While
>>>>> our initial focus is on these algorithms, we welcome other machine
>>>>> learning ideas as well.
>>>>> 
>>>>> Naturally, we are looking for volunteers to help grow the community
>>>>> and make the project successful.  So, if machine learning is your
>>>>> thing, come on over and lend a hand!
>>>>> 
>>>>> Cheers,
>>>>> Grant Ingersoll
>>>>> 
>>>>> http://lucene.apache.org/mahout


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