首页|New Findings from Indian Institute of Technology (IIT) Indore Update Understandi ng of Support Vector Machines (Eeg Signal Classification Using Improved Intuitio nistic Fuzzy Twin Support Vector Machines)
New Findings from Indian Institute of Technology (IIT) Indore Update Understandi ng of Support Vector Machines (Eeg Signal Classification Using Improved Intuitio nistic Fuzzy Twin Support Vector Machines)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Support Vecto r Machines have been published. According to news reporting from Indore, India, by NewsRx journalists, research stated, “Support-vector machines (SVMs) have bee n successfully employed to diagnose neurological disorders like epilepsy and sle ep disorders via electroencephalogram (EEG) signal classification. However, EEG signals are susceptible to noise and outliers while recording.”
IndoreIndiaAsiaEmerging Technologi esMachine LearningSupport Vector MachinesVector MachinesIndian Institute of Technology (IIT) Indore
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