LIBSVM 论文

2011ACM Transactions on Intelligent Systems and Technology引用 41282
DOI
Face and Expression RecognitionNeural Networks and ApplicationsAnomaly Detection Techniques and Applications
人工智能Neural Networks and ApplicationsFace and Expression RecognitionAnomaly Detection Techniques and Applications
相关技术:Neural Networks and ApplicationsAnomaly Detection Techniques and ApplicationsFace and Expression Recognition
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摘要

LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.

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Chih‐Jen Lin

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Chih-Chung Chang

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Neural Networks and ApplicationsAnomaly Detection Techniques and ApplicationsFace and Expression Recognition

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