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Integrating two features or kernels within one SVM classifier

Integrating two features or kernels within one SVM classifier

This video was recorded at Workshop on Machine Learning, SVM and Large Scale Optimization, Thurnau 2005. Many modern machine learning algorithms reduce to solving large-scale linear, quadratic or semi-definite mathematical programming problems. Optimization has thus become a crucial tool for learning, and learning a major application of optimization. Furthermore, a systematic recasting of learning and estimation problems in the framework of mathematical programming has encouraged the use of advanced techniques from optimization such as convex analysis, Lagrangian duality and large scale linear algebra. This has allowed much sharper theoretical analyses, and greatly increased the size and range of problems that can be handled. Several key application domains have developed explosively,... Show More
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