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首页> 外文期刊>Robotics & Machine Learning Daily News >Findings from Middle East Technological University Update Knowledge of Knowledge and Data Engineering (Domain Adaptation On Graphs By Learning Aligned Graph Bases)
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Findings from Middle East Technological University Update Knowledge of Knowledge and Data Engineering (Domain Adaptation On Graphs By Learning Aligned Graph Bases)

机译:Findings from Middle East Technological University Update Knowledge of Knowledge and Data Engineering (Domain Adaptation On Graphs By Learning Aligned Graph Bases)

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摘要

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Engineering - Knowledge and Data Engineering.According to news reporting out of Ankara, Turkey, by NewsRx editors, research stated, “A commonassumption in semi-supervised learning is that the class label function has a slow variation on the datagraph, while in many problems, the label function may vary abruptly in certain graph regions, resulting inhigh-frequency components. Although semi-supervised learning is an ill-posed problem, it is often possibleto find a source graph on which the label function has similar frequency content to the target graph wherethe actual classification problem is defined.”

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