Seminar on Semi-supervised Learning
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This is a blog for the machine learning seminar at Fudan University, presided by Dr. Semi-definite Programming and Optimization on Stiefel-Grassmann Manifolds. Some basic ideas of interior point methods. The interior point methods for SDP. Some common examples of SDP. Some applications of SDP in machine learning. Some basic concepts about Stiefel-Grassmann manifolds. Applications of these algorithms in machine learning. There are two topics,.
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Seminar on Semi-supervised LearningDESCRIPTION
Seminar on Semi-supervised Learning. Sunday, September 14, 2008. Introduction to Support Vector Machines. Given by Li He. 730 pm Sep 22, 2008. Several Results from Learning Theory. Design a Simple SVM and its Kernelized Version. Design an SVM in Nonseparable Case. A General Formulation of SVM. This short introduction acts as a reminder of the audiences for later topics on S3VM, because there has been some time since Prof. Junping Zhang gave us the talk on SVM. Only part of it is covered in the seminar.CONTENT
This web page semi-supervised.blogspot.com states the following, "Sunday, September 14, 2008." We saw that the webpage said " Introduction to Support Vector Machines." It also said " 730 pm Sep 22, 2008. Several Results from Learning Theory. Design a Simple SVM and its Kernelized Version. Design an SVM in Nonseparable Case. A General Formulation of SVM. This short introduction acts as a reminder of the audiences for later topics on S3VM, because there has been some time since Prof. Junping Zhang gave us the talk on SVM. Only part of it is covered in the seminar."SEEK SIMILAR DOMAINS
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