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Last Updated: October 20, 2026
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India Summer School on Graph Theory and Graph Algorithms. SVM can only produce linear boundaries between classes by default, which not enough for most machine learning applications. Will introduce the notion of kernels via Point Line Cover. Give kernels for Edge Clique cover, and Vertex Cover. Some parametric methods, polynomial regression and Support Vector Machines stand out as being very versatile. This is due ... ICALP-A 2020 On Quasipolynomial Multicut-Mimicking Networks and Talk by Daniel Lokshtanov at WorKer 2019. Location: University of Bergen, Norway. Watch how to say and pronounce " Use Crown reducition to get 3k kernel for Vertex Cover as well as use it to get kernel with k vertices and 2k clauses for MAX-SAT.
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