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浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Unsupervised text topic-related gene extraction for large unbalanced datasets 会议论文 China, 2020-06-01 作者:  Jing-Ming, Li;  Jing-Tao, Sun;  Wen-Han, Huang;  Qiu-Yu, Zhang;  Zhen-Zhou, Tian 收藏  |  浏览/下载：44/0  |  提交时间：2020/12/18 Classification (of information)  Data mining  Extraction  Feature extraction  Genes  Independent component analysis  Large datasetCalculation of similarities  Feature extraction algorithms  Feature selection methods  Information entropy  Multidimensional statistical data  Performance of classifier  Unbalanced datasets  Unbalanced distribution   Unsupervised text topic-related gene extraction for large unbalanced datasets 期刊论文 Tehnicki Vjesnik, 2020, 卷号: 27, 期号: 3, 页码: 842-852 作者:  Jing-Ming, Li;  Jing-Tao, Sun;  Wen-Han, Huang;  Qiu-Yu, Zhang;  Zhen-Zhou, Tian 收藏  |  浏览/下载：16/0  |  提交时间：2020/11/14 Classification (of information)  Data mining  Extraction  Feature extraction  Genes  Independent component analysis  Large dataset  Calculation of similarities  Feature extraction algorithms  Feature selection methods  Information entropy  Multidimensional statistical data  Performance of classifier  Unbalanced datasets  Unbalanced distribution   Design for target classifier based on semi-supervised learning (EI CONFERENCE) 会议论文 2011 International Conference on Electric Information and Control Engineering, ICEICE 2011, April 15, 2011 - April 17, 2011, Wuhan, China Jiangrui K. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 The target classifier is an ingredient of the target recognition system. In order to achieve the automation and computerization of target recognition  a method for training target classifier based on semi-supervised learning is provided. It adopts CFS algorithm for dada feature selection  and uses semi-supervised learning algorithm  Co-training to construct the target classifiers. The final classifier was produced through integration learning method. Experimental results show that the performance of the target classifier based on semi-supervised learning trained is superior to the traditional target classifier. 2011 IEEE.   Measure identification of classifier performance 会议论文 作者:  Wang, Cheng;  Yang, Xiongwei 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/10 Classifier performance  Cost matrices  Loss functions  Misclassifications  Performance  Performance of classifier  Quality evaluation indices  Unbalanced data   Identification of mentality facticity based on wavelet decomposition and support vector machines 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2010, 卷号: 44, 期号: [db:dc_citation_issue], 页码: 119-124 作者:  Zhao, Min;  Zheng, Chongxun;  Zhao, Chunlin 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/10 Information detection  Leave-one-out cross validations  Lie detection  Mentality  Performance of classifier  Personal information  Statistical significance  Wavelet coefficients   Hyperspectral image classification based on feature subspace evaluation and multiple classifier fusion 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2010, 卷号: 44, 期号: [db:dc_citation_issue], 页码: 20-24 作者:  Yang, Yi;  Han, Chongzhao;  Han, Deqiang 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/10 Adaptive subspaces  Classification performance  Corresponding weights  Fusion of multiple classifiers  Hyperspectral image datas  Multiple classifier fusion  Relieff algorithms  Weighted voting