首页|Findings from Faculty of Sciences Has Provided New Data on Support Vector Machin es (Multi-task Twin Support Vector Machine With Universum Data)
Findings from Faculty of Sciences Has Provided New Data on Support Vector Machin es (Multi-task Twin Support Vector Machine With Universum Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Support Vector Ma chines are discussed in a new report. According to news reporting out of Usti na d Labem, Czech Republic, by NewsRx editors, research stated, “Multi -task learni ng (MTL) has emerged as a promising topic of machine learning in recent years, a iming to enhance the performance of numerous related learning tasks by exploitin g beneficial information. Traditionally, during the training phase, existing mul ti -task learning models focused solely on the data related to the target task.” Financial support for this research came from Grant Agency of the Czech Republic .
Usti nad LabemCzech RepublicEuropeEmerging TechnologiesMachine LearningSupport Vector MachinesVector Machine sFaculty of Sciences
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