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[1]陈锦禾 沈洁.基于信息熵的主动学习半监督分类研究[J].计算机技术与发展,2010,(02):110.
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[2]陈东泳 钟尚平.基于半监督学习的JPEG图像通用隐写检测方法[J].计算机技术与发展,2009,(02):169.
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[3]徐庆伶 汪西莉.一种基于支持向量机的半监督分类方法[J].计算机技术与发展,2010,(10):115.
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