首页|Investigators from Jaypee University of Engineering & Technology R eport New Data on Support Vector Machines (Exploring Optimization Strategies for Support Vector Machine-based Half-cell Potential Prediction)
Investigators from Jaypee University of Engineering & Technology R eport New Data on Support Vector Machines (Exploring Optimization Strategies for Support Vector Machine-based Half-cell Potential Prediction)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Su pport Vector Machines. According to news originatingfrom Guna, India, by NewsRx correspondents, research stated, “This study aims to assess supportvector mach ine (SVM) models’ predictive ability to estimate half-cell potential (HCP) value s from input parametersby using Bayesian optimization, grid search and random s earch. Design/methodology/approach-A data set with 1,134 rows and 6 columns is u sed for principal component analysis (PCA) to minimizedimensionality and preser ve 95% of explained variance.”
GunaIndiaAsiaEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesJaypee University of Engineering & Technology
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