首页|Recent Findings from Indian Institute of Technology (IIT) Indore Has Provided Ne w Information about Support Vector Machines (Bell-shaped Fuzzy Least Square Twin Svm With Biomedical Applications)
Recent Findings from Indian Institute of Technology (IIT) Indore Has Provided Ne w Information about Support Vector Machines (Bell-shaped Fuzzy Least Square Twin Svm With Biomedical Applications)
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2024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Support Vector Machines is the su bject of a report. According to news originating from Indore, India, by NewsRx c orrespondents, research stated, "In practical applications, datasets frequently encompass noise, outliers, and imbalanced classes, which can markedly affect a m odel's generalization performance. Support vector machine (SVM) and its twin var iant i.e., TWSVM tend to be biased towards the majority class samples, leading t o misclassification of the minority class samples." Funders for this research include Office of the Administrator (NIH), United Stat es Department of Defense, NIH National Institute on Aging (NIA), NIH National In stitute of Biomedical Imaging & Bioengineering (NIBIB), Alzheimer' s Association, Alzheimers Drug Discovery Foundation, Fujirebio, GE Healthcare, I XICO Ltd., Janssen Alzheimer Immunotherapy Research & Development, LLC., Johnson & Johnson USA, Lumosity, Lundbeck Corporation, Merc k & Company, Meso Scale Diagnostics, LLC., Pfizer, Piramal Imaging , Servier, Takeda Pharmaceutical Company Ltd, Transition Therapeutics, Canadian Institutes of Health Research (CIHR).
IndoreIndiaAsiaEmerging Technologi esFuzzy LogicMachine LearningSupport Vector MachinesVector MachinesInd ian Institute of Technology (IIT) Indore
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