首页|Investigators from Polytechnic University of Catalonia Zero in on Support Vector Machines (New Interior-point Approach for Oneand Two-class Linear Support Vec tor Machines Using Multiple Variable Splitting)
Investigators from Polytechnic University of Catalonia Zero in on Support Vector Machines (New Interior-point Approach for Oneand Two-class Linear Support Vec tor Machines Using Multiple Variable Splitting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Support Vecto r Machines have been published. Accordingto news reporting from Catalonia, Spai n, by NewsRx editors, the research stated, “Multiple variablesplitting is a gen eral technique for decomposing problems by using copies of variables and additio nallinking constraints that equate their values. The resulting large optimizati on problem can be solved witha specialized interior-point method that exploits the problem structure and computes the Newton directionwith a combination of di rect and iterative solvers (i.e.”
CataloniaSpainEuropeEmerging Techn ologiesMachine LearningSupport Vector MachinesVector MachinesPolytechnic University of Catalonia
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