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
To solve the unbalanced data problems of learning models for semantic concepts, an optimized modeling method based on the posterior probability support vector machine （PPSVM） is presented. A neighborbased posterior ...To solve the unbalanced data problems of learning models for semantic concepts, an optimized modeling method based on the posterior probability support vector machine （PPSVM） is presented. A neighborbased posterior probability estimator for visual concepts is provided. The proposed method has been applied in a high-level visual semantic concept classification system and the experiment results show that it results in enhanced performance over the baseline SVM models, as well as in improved robustness with respect to high-level visual semantic concept classification.展开更多
Based on the theory of the post method pedagogy and the teaching practice，this paper proposes a new teaching model，the self-correction model，and explains it from the point of view of linking theory.
《食品免疫学》是食品质量与安全专业的专业课,是将食品学科、免疫学科和生物技术等学科连接到一起的重要纽带,为解决食品安全提供理论支持和技术指导。本课程知识点具有内容多、抽象繁琐、系统性强等特点;然而教学过程按照传统图片、...《食品免疫学》是食品质量与安全专业的专业课,是将食品学科、免疫学科和生物技术等学科连接到一起的重要纽带,为解决食品安全提供理论支持和技术指导。本课程知识点具有内容多、抽象繁琐、系统性强等特点;然而教学过程按照传统图片、文字和语言授课方式很难将知识点表达清楚,导致学生课堂表现为不理解、听不懂,从而导致厌学本课程。根据以上课程教学问题,本课程教学过程以成果导向教育(Outcome based education,OBE)教学理念并结合课程思政为出发点,将“立德树人”作为教学改革的基石,从教学内容重新组成、理论和实际相融合、改善教学模式、加强教师队伍建设以及多种考核方式相结合等方面对课程进行了教学改革探索与实践,旨在激发学生学习兴趣,提高本课程的教学质量和学生学习效果。展开更多
由于现有的多数概念演化检测方法本质上是基于监督学习,且通常用于解决一个时间段内仅出现一个新类,不能处理数据流中的类消失和类循环任务。为此,提出一种基于弱监督集成的概念演化自适应检测方法(AD_WE:Adaptive Detection Method for...由于现有的多数概念演化检测方法本质上是基于监督学习,且通常用于解决一个时间段内仅出现一个新类,不能处理数据流中的类消失和类循环任务。为此,提出一种基于弱监督集成的概念演化自适应检测方法(AD_WE:Adaptive Detection Method for Concept Evolution Based on Weakly Supervised Ensemble)。该方法利用弱监督集成策略构建集成学习器,对数据块中的训练样本进行局部预测,在此基础上,基于局部密度和相对距离识别特征空间中具有较强内聚性的相似数据并对其聚类,对聚类结果进行相似度比较,实现新类实例的检测及不同新类的区分;同时根据数据随时间变化特征建立动态衰减模型,及时消除消失类,并通过相似度比较检测循环类。实验表明,所提方法能对概念演化做出及时响应,可有效识别消失类和循环类,提高学习器的泛化性能。展开更多
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.
基金Sponsored by the Beijing Municipal Natural Science Foundation(4082027)
文摘To solve the unbalanced data problems of learning models for semantic concepts, an optimized modeling method based on the posterior probability support vector machine （PPSVM） is presented. A neighborbased posterior probability estimator for visual concepts is provided. The proposed method has been applied in a high-level visual semantic concept classification system and the experiment results show that it results in enhanced performance over the baseline SVM models, as well as in improved robustness with respect to high-level visual semantic concept classification.
文摘Based on the theory of the post method pedagogy and the teaching practice，this paper proposes a new teaching model，the self-correction model，and explains it from the point of view of linking theory.
文摘《食品免疫学》是食品质量与安全专业的专业课,是将食品学科、免疫学科和生物技术等学科连接到一起的重要纽带,为解决食品安全提供理论支持和技术指导。本课程知识点具有内容多、抽象繁琐、系统性强等特点;然而教学过程按照传统图片、文字和语言授课方式很难将知识点表达清楚,导致学生课堂表现为不理解、听不懂,从而导致厌学本课程。根据以上课程教学问题,本课程教学过程以成果导向教育(Outcome based education,OBE)教学理念并结合课程思政为出发点,将“立德树人”作为教学改革的基石,从教学内容重新组成、理论和实际相融合、改善教学模式、加强教师队伍建设以及多种考核方式相结合等方面对课程进行了教学改革探索与实践,旨在激发学生学习兴趣,提高本课程的教学质量和学生学习效果。
文摘由于现有的多数概念演化检测方法本质上是基于监督学习,且通常用于解决一个时间段内仅出现一个新类,不能处理数据流中的类消失和类循环任务。为此,提出一种基于弱监督集成的概念演化自适应检测方法(AD_WE:Adaptive Detection Method for Concept Evolution Based on Weakly Supervised Ensemble)。该方法利用弱监督集成策略构建集成学习器,对数据块中的训练样本进行局部预测,在此基础上,基于局部密度和相对距离识别特征空间中具有较强内聚性的相似数据并对其聚类,对聚类结果进行相似度比较,实现新类实例的检测及不同新类的区分;同时根据数据随时间变化特征建立动态衰减模型,及时消除消失类,并通过相似度比较检测循环类。实验表明,所提方法能对概念演化做出及时响应,可有效识别消失类和循环类,提高学习器的泛化性能。
