To shorten the communication between nodes, we propose and analyze a method for distributed support vector machine and implement it on an iterative MapReduce ...
Abstract-Linear classification is useful in many applications, but training large-scale data remains an important research issue.
By partitioning the training dataset into smaller subsets and optimizing the partitioned subsets across a cluster of computers, this work reduces the ...
To shorten the communication between nodes, we propose and analyze a method for distributed support vector machine and implement it on an iterative MapReduce ...
To shorten the communication between nodes, we propose and analyze a method for distributed support vector machine and implement it on an iterative MapReduce ...
This method is based on the cascade SVM model. Their approach is based on iterative MapReduce model Twister which is different from our implementation of Hadoop ...
Bibliographic details on A distributed SVM method based on the iterative MapReduce.
Oct 22, 2024 · In this paper, parallel SVM based on iterative MapReduce model Twister is studied. The program flow is developed. The efficiency of the ...
This paper proposes a distributed SVM algorithm in a master–slave mode (MS-DSVM), which integrates a distributed SVM and ADMM acting in a master–slave ...
Dec 15, 2013 · In this research, we present a MapReduce based distributed parallel SVM training algorithm for binary classification problems. This work shows ...
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