首页|New Findings from Silesian University of Technology in the Area of Support Vecto r Machines Described (Ensembles of Evolutionarilyconstructed Support Vector Mac hine Cascades)
New Findings from Silesian University of Technology in the Area of Support Vecto r Machines Described (Ensembles of Evolutionarilyconstructed Support Vector Mac hine Cascades)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Support Vector Machines. According to news reportingoriginating from Gliwice, Poland, by NewsRx correspondents, research stated, “Support vector machine(SVM) is a we ll -established and widely -used classifier, but it is also known for high time and memorycomplexity of the training process. Coupled with its sensitivity to t he model hyperparameters, it is oftenquite challenging to apply SVMs in practic e to classify real -life data.”
GliwicePolandEuropeEmerging Techno logiesMachine LearningSupport Vector MachinesVector MachinesSilesian Uni versity of Technology