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Support Vector Machine & Its Applications Mingyue Tan The University of British Columbia Nov 26, 2004 A portion (1/3) of the slides are taken from Prof
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Support Vector Machines
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Machine Learning Lecture 9 Support Vector Machines G53MLE | Machine Learning | Dr Guoping Qiu1 Based on slides from Prof. Ray Mooney
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CS276A Text Retrieval and Mining Lecture 17 [Borrows some slides from Ray Mooney]
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S UPPORT V ECTOR M ACHINES Jianping Fan Dept of Computer Science UNC-Charlotte
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Support Vector Machine & Its Applications Mingyue Tan The University of British Columbia Nov 26, 2004 A portion (1/3) of the slides are taken from Prof
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SVM - Support Vector Machines A new classification method for both linear and nonlinear data It uses a nonlinear mapping to transform the original training
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Structured SVM Chen-Tse Tsai and Siddharth Gupta
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JBR1 Support Vector Machines Classification Venables & Ripley Section 12.5 CSU Hayward Statistics 6601 Joseph Rickert & Timothy McKusick December 1, 2004
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1 Machine Learning Support Vector Machines. 2 Perceptron Revisited: Linear Separators Binary classification can be viewed as the task of separating classes
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Locate Potential Support Vectors for Faster Sequential Minimal Optimization Hansheng Lei, PhD Assistant Professor Computer and Information Sciences Department
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