This paper presents a least square support vector machine (LS-SVM) that performs text classification of noisy document titles according to different ...
Dec 31, 2006 · Abstract: This paper presents a least square support vector machine (LS-SVM) that performs text classification of noisy document titles ...
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Abstract: This paper presents a least square support vector machine (LS-SVM) that performs text classification of noisy document titles according to different ...
In this paper we are improving classification accuracy and dimensionality reduction of a large text data by Least Square. Support Vector Machines along with ...
Least-squares support-vector machines (LS-SVM) for statistics and in statistical modeling, are least-squares versions of support-vector machines (SVM).
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LS-SVM is the classifier, used in this paper for efficient classification of text documents. Text data is normally highdimensional characteristic, to reduce the ...
This paper presents a least square support vector machine (LS-SVM) that performs text classification of noisy document titles according to different ...
Using unsupervised clustering approach to train the Support Vector Machine for text classification · A hybrid text classification approach with low dependency on ...
We study the relationship between Support. Vector Machines (SVM) and Least Squares. SVM (LS-SVM). Our main result shows that under mild conditions, LS-SVM ...
May 1, 2020 · In this Letter, a new classification method based on the deep structure and least squares SVM (LSSVM) is proposed. For large‐scale data sets, ...