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Linear SVMs

Linear SVM is the newest extremely fast. Machine learning (data mining) algorithm for solving multiclass. Classification problems from ultra large. Data sets that implements an original proprietary version of a cutting plane algorithm. For designing a linear support vector machine. LinearSVM is a linearly scalable routine. Meaning that it creates an SVM model in a CPU time which scales linearly. Efficiency in dealing with extra large data sets (say, several millions training data pairs),. Data set (Table...

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Linear SVMs | linearsvm.com Reviews
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Linear SVM is the newest extremely fast. Machine learning (data mining) algorithm for solving multiclass. Classification problems from ultra large. Data sets that implements an original proprietary version of a cutting plane algorithm. For designing a linear support vector machine. LinearSVM is a linearly scalable routine. Meaning that it creates an SVM model in a CPU time which scales linearly. Efficiency in dealing with extra large data sets (say, several millions training data pairs),. Data set (Table...
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Linear SVMs | linearsvm.com Reviews

https://linearsvm.com

Linear SVM is the newest extremely fast. Machine learning (data mining) algorithm for solving multiclass. Classification problems from ultra large. Data sets that implements an original proprietary version of a cutting plane algorithm. For designing a linear support vector machine. LinearSVM is a linearly scalable routine. Meaning that it creates an SVM model in a CPU time which scales linearly. Efficiency in dealing with extra large data sets (say, several millions training data pairs),. Data set (Table...

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Meet the Authors

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Linear Support Vector Machine. Te-Ming Huang and Vojislav Kecman. V 30, 2009.

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Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning

http://www.learning-from-data.com/download.htm

Supervised, Semi-supervised, and Unsupervised Learning. Kernel Based Algorithms for Mining Huge Data Sets. Companion web sites of the book. A support vector machines tool with a nice GUI for solving large-scale classification and regression problems. MATLAB Codes for ISDA. The software SemiL is the first program that implements graph-based semi-supervised learning techniques for large-scale problems. Unsupervised PCA and ICA Algorithms.

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Linear SVMs

Linear SVM is the newest extremely fast. Machine learning (data mining) algorithm for solving multiclass. Classification problems from ultra large. Data sets that implements an original proprietary version of a cutting plane algorithm. For designing a linear support vector machine. LinearSVM is a linearly scalable routine. Meaning that it creates an SVM model in a CPU time which scales linearly. Efficiency in dealing with extra large data sets (say, several millions training data pairs),. Data set (Table...

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