Researchers at Naresuan University Publish New Study Findings onSupport Vector Machines (Robust Support Vector Machine With Asymmetric Truncated Generalized Pi nball Loss)
Researchers at Naresuan University Publish New Study Findings onSupport Vector Machines (Robust Support Vector Machine With Asymmetric Truncated Generalized Pi nball Loss)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on is now available. Accor ding to news reporting from Phitsanulok,Thailand, by NewsRx journalists, resear ch stated, “The support vector machine (SVM) with pinball loss(Pin-SVM) can han dle noise sensitivity and instability to re-sampling but loses sparsity.”Financial supporters for this research include Naresuan University (Nu), Nationa l Science, ResearchAnd Innovation Fund.
Key words
Naresuan University/Phitsanulok/Thaila nd/Asia/Emerging Technologies/Machine Learning/Support Vector Machines/Vect or Machines
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