首页|Recent Research from South Asian University Highlight Findings in Support Vector Machines (Parametric Non-parallel Support Vector Machines for Pattern Classific ation)

Recent Research from South Asian University Highlight Findings in Support Vector Machines (Parametric Non-parallel Support Vector Machines for Pattern Classific ation)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Support Vector Machines. According to news reporting originating from Delhi, Ind ia, by NewsRx correspondents, research stated, "This paper proposes Parametric n on-parallel support vector machines for binary pattern classification." Our news editors obtained a quote from the research from South Asian University, "Through an intelligent redesigning of the Support vector machine optimisation, not only do we bring noise resilience into the model, but also retain its spars ity. Our model exhibits properties similar to Support vector machines, hence man y SVM related learning algorithms can be extended to make it scalable for large scale problems." According to the news editors, the research concluded: "Experimental results on several benchmark UCI datasets validate our claims." This research has been peer-reviewed.

DelhiIndiaAsiaEmerging Technologie sMachine LearningSupport Vector MachinesVector MachinesSouth Asian Unive rsity

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.19)