首页|Studies from Tianjin University Describe New Findings in Support Vector Machines (Research on the Construction and Application of a SVM-Based Quantification Mod el for Streetscape Visual Complexity)
Studies from Tianjin University Describe New Findings in Support Vector Machines (Research on the Construction and Application of a SVM-Based Quantification Mod el for Streetscape Visual Complexity)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on support vector ma chines have been published. According to newsoriginating from Tianjin, People’s Republic of China, by NewsRx correspondents, research stated, “Visualcomplexit y is a crucial criterion for evaluating the quality of urban environments and a key dimension inarousal theory and visual preference theory.”
Tianjin UniversityTianjinPeople’s Re public of ChinaAsiaMachine LearningSupport Vector Machines