首页|Findings from Beijing Information Science and Technology University Provides New Data about Intelligent Systems (A Meta-learning Network Method for Few-shot Multi-class Classification Problems With Numerical Data)
Findings from Beijing Information Science and Technology University Provides New Data about Intelligent Systems (A Meta-learning Network Method for Few-shot Multi-class Classification Problems With Numerical Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning - Intelligent Systems. Accordingto news reporting originating from Beijing, People’s Republic of China, by NewsRx editors, the researchstated, “The support vector machine (SVM) method is an important basis of the current popular multiclassclassification (MCC) methods and requires a sufficient number of samples. In the case of a limitednumber of samples, the problem of over-learning easily occurs, resulting in unsatisfactory classification.”
BeijingPeople’s Republic of ChinaAsiaIntelligent SystemsEmerging TechnologiesMachine LearningMeta LearningBeijing Information Science and Technology University
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