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)

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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

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.23)