An Investigation on Linear SVM and its Variants for Text Categorization
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...The SVM algorithm is used in several applications including simple binary classification [135] text categorization [136-138], hand written digit recognition...
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"An Investigation on Linear SVM and ..." refers methods or result in this paper
...Following [11], from the 50,216 documents in 1991, we used first 10,000 for training and second 10,000 for testing....
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...These results go in line with BEP values presented on the same datasets by Joachims [11] and Dumais et al. [14]....
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...These results go in line with BEP values presented on the same datasets by Joachims [11] and Dumais et al....
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"An Investigation on Linear SVM and ..." refers methods in this paper
...In this paper, we have investigated the effectiveness and suitability of eight linear SVM implementations for TC tasks....
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...The ohsumed corpus compiled by William hersh [10] consists of medline documents from the year 1981 to 1991....
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5,350 citations
"An Investigation on Linear SVM and ..." refers methods in this paper
...For SMO algorithm, we used its implementation available in Weka 3.5.4 machine learning workbench [17]....
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...However, for SMO and ν − SVM algorithms we used posterior probabilities provided by Weka and LIBSVM implementations....
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...We considered Sequential Minimal Optimization (SMO) [1], SVMlight [2], ν − SVM [3], Smooth SVM (SSVM) [4], Lagrangian SVM (LSVM) [5], Proximal SVM (PSVM) [6], SVMlin [7], and SVMperf [8] for comparison....
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...We considered Sequential Minimal Optimization (SMO) [1], SVM [2], ν − SVM [3], Smooth SVM (SSVM) [4], Lagrangian SVM (LSVM) [5], Proximal SVM (PSVM) [6], SVMlin [7], and SVM [8] for comparison....
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...SMO and PSVM algorithms have competitive performance with respect to other algorithms....
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