Sentence examples for implementation for processing from inspiring English sources

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We evaluate linear support vector machines (SVM) as implemented in the LibSVM library, as well as LibLINEAR, a specialized implementation for processing large data sets, and naive Bayes classifiers.

MapReduce, which was first developed by Google, is a programming model and an associated implementation for processing large datasets [45].

MapReduce [2] is a parallel and distributed programming model and also an associated implementation for processing huge volumes of data on a large cluster of commodity machines.

MapReduce is a widely used programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster [21, 22].

1 https://issues.apache.org/jira/browse/HADOOP. 2 MapReduce is a programming model and an associated implementation for processing and generating large datasets that is amenable to a broad variety of real-world tasks [38].

Similar(55)

The review section is followed by a challenges and future trends section that highlights the use of the MapReduce programming framework and its open source implementation Hadoop for processing clinical big data.

Hadoop is an open-source implementation of MapReduce serving for processing large datasets in a massively parallel manner.

Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data.

A number of implementation strategies have been proposed for processing multimedia data.

As size of the sliding window is finite (limited to 10 readings in current implementation), spikes in readings are held for processing.

In the light of the recent UK Research Council funded Environmental Virtual Observatory pilot project, this paper gives an overview of currently available implementations related to web-based technologies for processing large and heterogeneous datasets and discuss their relevance within the context of environmental data processing, simulation and prediction.

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