Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The abundance of real-world data and limited labeling budget calls for active learning, which is an important learning paradigm for reducing human labeling eorts. Many recently developed active learning algorithms consider both uncertainty and representativeness when making querying decisions. Hover, exploiting representativeness with uncertainty concurrently usually requires tackling sophisticated and challenging learning tasks, such as clustering. ,  propose a new active learning framework, called hinted sampling, which takes both uncertainty and representativeness into account in a simpler way.  design a novel active learning algorithm within the hinted sampling framework with an extended support vector machine. Experimental results validate that the novel active learning algorithm can result in a better and more stable performance than that achieved by state-of-the-art algorithms.
['Chun-Liang Li', 'Chun-Sung Ferng', 'Hsuan-Tien Lin']
I am writing a research paper on a idea Active Learning with Hinted Support Vector Machine
[{"from": "human", "value": "I am writing a research paper on a idea Active Learning with Hinted Support Vector Machine"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The abundance of real-world data and limited labeling budget calls for active learning, which is an important learning paradigm for reducing human labeling eorts. Many recently developed active learning algorithms consider both uncertainty and representativeness when making querying decisions. Hover, exploiting representativeness with uncertainty concurrently usually requires tackling sophisticated and challenging learning tasks, such as clustering. ,  propose a new active learning framework, called hinted sampling, which takes both uncertainty and representativeness into account in a simpler way.  design a novel active learning algorithm within the hinted sampling framework with an extended support vector machine. Experimental results validate that the novel active learning algorithm can result in a better and more stable performance than that achieved by state-of-the-art algorithms."}]