Space: Apache Mahout (https://cwiki.apache.org/confluence/display/MAHOUT) Page: Restricted Boltzmann Machines (https://cwiki.apache.org/confluence/display/MAHOUT/Restricted+Boltzmann+Machines)
Edited by Sisir Koppaka: --------------------------------------------------------------------- NOTE: This implementation is a Work-In-Progress, at least till September, 2010. The JIRA issue is [here|https://issues.apache.org/jira/browse/MAHOUT-375]. h3. Boltzmann Machines Boltzmann Machines are a type of stochastic neural networks that closely resemble physical processes. They define a network of units with an overall energy that is evolved over a period of time, until it reaches thermal equilibrium. However, the convergence speed of Boltzmann machines that have unconstrained connectivity is low. h3. Restricted Boltzmann Machines Restricted Boltzmann Machines are a variant, that are 'restricted' in the sense that connections between hidden units of a single layer are _not_ allowed. In addition, stacking multiple RBM's is also feasible, with the activities of the hidden units forming the base for a higher-level RBM. The combination of these two features renders RBM's highly usable for parallelization. In the Netflix Prize, RBM's offered distinctly orthogonal predictions to SVD and k-NN approaches, and contributed immensely to the final solution. h3. RBM's in Apache Mahout An implementation of Restricted Boltzmann Machines is being developed for Apache Mahout as a Google Summer of Code 2010 project. The key aims of the implementation are: #Accurate - should replicate known results, including those of the Netflix Prize #Fast - The implementation uses Map-Reduce, hence, it should be fast #Scale - Should scale to large datasets, with a design whose critical parts don't need a dependency between the amount of memory on your cluster systems and the size of your dataset You can view the patch as it develops [here|http://github.com/sisirkoppaka/mahout-rbm/compare/trunk...rbm]. Change your notification preferences: https://cwiki.apache.org/confluence/users/viewnotifications.action
