Sentence examples for for distributed machine from inspiring English sources
DMTK stands for "distributed machine learning toolkit" and it focuses on effectively analyzing very large amounts of data.
Although conventional studies such as PetuumSGD perform well for distributed machine learning tasks, they mainly focus on the optimization of the communication protocol, which does not exploit the potential benefits of a specific machine learning algorithm.
In a comparison between MLI (an API for distributed machine learning built on Spark), GraphLab, Mahout, and MATLAB of collaborative filtering with alternating least squares [106], it was observed that Mahout's recommenders are fairly easy to set up on an existing cluster but significant tuning is required to run them effectively on large datasets while ensuring good performance.
The swing states that experienced the longest lines, including Florida, Michigan, Missouri, Ohio and Pennsylvania, lack uniform rules for distributing machines and ballots, the report says.
This paper describes a novel 3D simulation modelling system for supporting our distributed machine design and control paradigm with respect to simulating and emulating machine behaviour on the Internet.
Now we are looking for partnerships with companies pioneering technology in gaming, IoT, VR and distributed machine learning," he said.
In order to control the number of clusters for the distributed machines, this phase needs to run until (a) we can find no cluster pairs that increase the modularity score, or (b) the number of clusters produced in this phase reaches (a times k) where (a in mathbb {R}) is a user-specified parameter such that (a > 1).
Using the message passing programming model for distributed memory machines, new parallel block-Jacobi SVD algorithms were implemented on an SGI-Cray Origin 2000 parallel computer.
Sun's argument for an injunction forcing Microsoft to carry Java focused on a developing market for software beyond the PC operating systems -- a middleware layer for distributed computing, linking many machines, using Internet standards.
DGC uses cluster of physical or virtual machines for distributed compilation process.
Due to this, there is a need for distributed computational platforms which allow parallelized implementations of advanced machine learning algorithms.
