Depicting the associating degrees between two concepts and their relationships are major works for constructing a multi-relationship fuzzy concept network. This paper indicates some drawbacks of the existing methods o...Depicting the associating degrees between two concepts and their relationships are major works for constructing a multi-relationship fuzzy concept network. This paper indicates some drawbacks of the existing methods of calculating associating degrees between concepts, and proposes a new method for overcoming these drawbacks. We also use some examples to compare the proposed method with the existing methods for calculating the associating degrees between two concepts in a multi-relationship fuzzy concept networks.展开更多
概念漂移是数据流挖掘中不可避免的难点问题,其典型特征是数据分布随时间可能发生改变.针对现有模型处理数据流分类任务时出现过拟合的问题,本文提出了一种目标解耦驱动的在线深度网络(Online Deep Network driven by Target Decoupling...概念漂移是数据流挖掘中不可避免的难点问题,其典型特征是数据分布随时间可能发生改变.针对现有模型处理数据流分类任务时出现过拟合的问题,本文提出了一种目标解耦驱动的在线深度网络(Online Deep Network driven by Target Decoupling,ODNTD).首先,该模型从历史数据流中学习一个任务未知型特征提取器,实现了对任务的无偏见表示学习,从而增强了模型的泛化能力;其次,模型利用任务特定的权重调整,使得任务未知的通用特征表示能够适应具体任务,通过这种目标任务的权重学习进一步提升了模型的适应性.实验结果表明,所提出的方法对含概念漂移的数据流有良好的泛化性能.展开更多
针对民航院校“网络安全服务与管理”课程的教学现状,文章运用成果导向教育(Outcome Based Education,OBE)理念进行教学改革,构建以行业需求为目标的“通用基础+民航特色”的课程内容体系,设计“教-赛-证-产”四位一体的教学培养方法,...针对民航院校“网络安全服务与管理”课程的教学现状,文章运用成果导向教育(Outcome Based Education,OBE)理念进行教学改革,构建以行业需求为目标的“通用基础+民航特色”的课程内容体系,设计“教-赛-证-产”四位一体的教学培养方法,建立“形成性评价+总结性评价”的评价体系,旨在培养掌握民航网络安全知识体系、熟悉行业场景实操技能的民航网络空间安全专业人才,为民航网络空间安全专业的高等教育改革提供参考。展开更多
A hybrid model that is based on the Combination of keywords and concept was put forward. The hybrid model is built on vector space model and probabilistic reasoning network. It not only can exert the advantages of key...A hybrid model that is based on the Combination of keywords and concept was put forward. The hybrid model is built on vector space model and probabilistic reasoning network. It not only can exert the advantages of keywords retrieval and concept retrieval but also can compensate for their shortcomings. Their parameters can be adjusted according to different usage in order to accept the best information retrieval result, and it has been proved by our experiments.展开更多
文摘Depicting the associating degrees between two concepts and their relationships are major works for constructing a multi-relationship fuzzy concept network. This paper indicates some drawbacks of the existing methods of calculating associating degrees between concepts, and proposes a new method for overcoming these drawbacks. We also use some examples to compare the proposed method with the existing methods for calculating the associating degrees between two concepts in a multi-relationship fuzzy concept networks.
文摘概念漂移是数据流挖掘中不可避免的难点问题,其典型特征是数据分布随时间可能发生改变.针对现有模型处理数据流分类任务时出现过拟合的问题,本文提出了一种目标解耦驱动的在线深度网络(Online Deep Network driven by Target Decoupling,ODNTD).首先,该模型从历史数据流中学习一个任务未知型特征提取器,实现了对任务的无偏见表示学习,从而增强了模型的泛化能力;其次,模型利用任务特定的权重调整,使得任务未知的通用特征表示能够适应具体任务,通过这种目标任务的权重学习进一步提升了模型的适应性.实验结果表明,所提出的方法对含概念漂移的数据流有良好的泛化性能.
文摘针对民航院校“网络安全服务与管理”课程的教学现状,文章运用成果导向教育(Outcome Based Education,OBE)理念进行教学改革,构建以行业需求为目标的“通用基础+民航特色”的课程内容体系,设计“教-赛-证-产”四位一体的教学培养方法,建立“形成性评价+总结性评价”的评价体系,旨在培养掌握民航网络安全知识体系、熟悉行业场景实操技能的民航网络空间安全专业人才,为民航网络空间安全专业的高等教育改革提供参考。
文摘A hybrid model that is based on the Combination of keywords and concept was put forward. The hybrid model is built on vector space model and probabilistic reasoning network. It not only can exert the advantages of keywords retrieval and concept retrieval but also can compensate for their shortcomings. Their parameters can be adjusted according to different usage in order to accept the best information retrieval result, and it has been proved by our experiments.
