首页|Studies from Karlsruhe Institute of Technology (KIT) Have Provided New Informati on about Support Vector Machines (Support Vector Machines Within a Bivariate Mix ed-integer Linear Programming Framework)
Studies from Karlsruhe Institute of Technology (KIT) Have Provided New Informati on about Support Vector Machines (Support Vector Machines Within a Bivariate Mix ed-integer Linear Programming Framework)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Support Vector Machines is now available. According to news originating from Karlsruhe, Germany, by New sRx correspondents, research stated, “Support vector machines (SVMs) are a power ful machine learning paradigm, performing supervised learning for classification and regression analysis. A number of SVM models in the literature have made use of advances in mixed-integer linear programming (MILP) techniques in order to p erform this task efficiently.” Our news journalists obtained a quote from the research from the Karlsruhe Insti tute of Technology (KIT), “In this work, we present three new models for SVMs th at make use of piecewise linear (PWL) functions. This allows effective separatio n of data points where a simple linear SVM model may not be sufficient. The mode ls we present make use of binary variables to assign data points to SVM segments , and hence fit within a recently presented framework for machine learning MILP models. Alongside presenting an inbuilt feature selection operator, we show that the models can benefit from robust inbuilt outlier detection.”
KarlsruheGermanyEuropeCyborgsEme rging TechnologiesMachine LearningSupport Vector MachinesVector MachinesKarlsruhe Institute of Technology (KIT)
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