首页|Findings from University of Carlos III Madrid Provide New Insights into Support Vector Machines (Cost-sensitive Probabilistic Predictions for Support Vector Mac hines)
Findings from University of Carlos III Madrid Provide New Insights into Support Vector Machines (Cost-sensitive Probabilistic Predictions for Support Vector Mac hines)
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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 reporting from Madrid, Spain, by NewsRx jou rnalists, research stated, "Support vector machines (SVMs) are widely used and c onstitute one of the best examined and used machine learning models for two-clas s classification. Classification in SVM is based on a score procedure, yielding a deterministic classification rule, which can be transformed into a probabilist ic rule (as implemented in off -the-shelf SVM libraries), but is not probabilist ic in nature." Funders for this research include EC H2020 MSCA RISE NeEDS Project, Projects EC H2020 MSCA RISE NeEDS Project - MCIN/AEI, European Union "NextGenerationEU"/PRTR , Junta de Andalucia, Universidad de Cadiz, Spanish Government, EU ERD Funds.
MadridSpainEuropeEmerging Technolo giesMachine LearningSupport Vector MachinesVector MachinesUniversity of Carlos III Madrid
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