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 <[EMAIL PROTECTED]> 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 <[EMAIL PROTECTED]> 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 <[EMAIL PROTECTED]> 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 > > > > > > > > -- > B. Regards, > Edward yoon @ NHN, corp. > -- B. Regards, Edward yoon @ NHN, corp.
