首页|Data on Machine Learning Detailed by Researchers at Department of Computer Appli cations (Optifeat: Enhancing Feature Selection, a Hybrid Approach Combining Subj ect Matter Expertise and Recursive Feature Elimination Method)

Data on Machine Learning Detailed by Researchers at Department of Computer Appli cations (Optifeat: Enhancing Feature Selection, a Hybrid Approach Combining Subj ect Matter Expertise and Recursive Feature Elimination Method)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Mysuru, India, by NewsRx journalists, research stated, “Optimizing the performanceof Java Vir tual Machines (JVMs) (Sahin et al. in Proc IEEE Int Congr Big Data BigData Congr 410-417,2016) is crucial for achieving efficient execution of Java application s. Feature selection plays a pivotalrole in identifying the most relevant param eters for fine-tuning JVMs, thereby enhancing their overallefficiency.”

MysuruIndiaAsiaCyborgsEmerging T echnologiesMachine LearningDepartment of Computer Applications

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.6)