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A kernel learning framework for domain adaptation learning

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science China(information sciences) 2012年第9期55卷 1983-2007页

作者： TAO JianWen 1,3,CHUNG FuLai 2 & WANG ShiTong 1,2 1 school of Digital Media,Jiangnan University,Wuxi 214122,China 2 Department of Computing,Hong kong Polytechnic University,Hong kong,China 3 school of information engineering,Zhejiang Business Technology Institute,Ningbo 315012,China school of Digital Media Jiangnan University Wuxi China school of information engineering Zhejiang Business Technology Institute Ningbo China Department of Computing Hong Kong Polytechnic University Hong Kong China

Domain adaptation learning(DAL) methods have shown promising results by utilizing labeled samples from the source(or auxiliary) domain(s) to learn a robust classifier for the target domain which has a few or even no labeled ***,there exist several key issues which need to be addressed in the state-of-theart DAL methods such as sufficient and effective distribution discrepancy metric learning,effective kernel space learning,and multiple source domains transfer learning,*** at the mentioned-above issues,in this paper,we propose a unified kernel learning framework for domain adaptation learning and its effective extension based on multiple kernel learning(MKL) schema,regularized by the proposed new minimum distribution distance metric criterion which minimizes both the distribution mean discrepancy and the distribution scatter discrepancy between source and target domains,into which many existing kernel methods(like support vector machine(SVM),v-SVM,and least-square SVM) can be readily *** framework,referred to as kernel learning for domain adaptation learning(KLDAL),simultaneously learns an optimal kernel space and a robust classifier by minimizing both the structural risk functional and the distribution discrepancy between different ***,we extend the framework KLDAL to multiple kernel learning framework referred to as *** the KLDAL or MKLDAL framework,we also propose three effective formulations called KLDAL-SVM or MKLDAL-SVM with respect to SVM and its variant μ-KLDALSVM or μ-MKLDALSVM with respect to v-SVM,and KLDAL-LSSVM or MKLDAL-LSSVM with respect to the least-square SVM,*** experiments on real-world data sets verify the outperformed or comparable effectiveness of the proposed frameworks.

关键词： domain adaptation learning support vector machine multiple kernel learning maximum mean discrepancy maximum scatter discrepancy

基于多依赖图和知识融合的方面级情感分析模型

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浙江大学学报（工学版） 2024年第4期58卷 737-747,837页

作者：何勇禧韩虎孔博兰州交通大学电子与信息工程学院甘肃兰州730070

方面级情感分析存在以下问题:句法依赖解析方式单一,语法信息的提取和利用不完善;外部知识库使用有限,无法提供足以判断情感的背景知识与信息;引入的知识过多,导致结论出现偏差.为此提出新的方面级情感分析模型,使用2种不同的句法解析... 详细信息

方面级情感分析存在以下问题:句法依赖解析方式单一,语法信息的提取和利用不完善;外部知识库使用有限,无法提供足以判断情感的背景知识与信息;引入的知识过多,导致结论出现偏差.为此提出新的方面级情感分析模型,使用2种不同的句法解析方式对句子构建2种句法依赖图.依据外部情感知识构建情感关系图,引入概念知识图谱增强句子中的方面词本体,构建与经过概念知识图谱增强的句子对应的可见矩阵.使用双通道图卷积神经网络处理依赖图、情感关系图与可视矩阵,融合依赖图与情感关系图,对特定方面的特征表示进行语义、句法双交互.实验结果表明,所提模型在多个数据集上的准确率和宏F1值均显著优于主流模型.

关键词：方面级情感分析多依赖图知识图谱图卷积网络情感知识概念知识

An Efficient Spam Filtering Algorithm Based on NPE

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An Efficient Spam Filtering Algorithm Based on NPE

Embedded digital-home control system based on Ad-Hoc wireless network

2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop(KAM 2008)

作者： Ziqiang Wang school of information science and engineering Henan University of Technology Zhengzhou ChinaXia Sun school of information science and engineering Henan University of Technology Zhengzhou China

With the popularization of the Internet,it is challenging to develop spam filters that can effectively eliminate the increasing volumes of unwanted mails automatically before they enter a user’s *** efficiently solve the spam filtering problems,a spam mail filtering method based on neighborhood preserving embedding （NPE） and support vector machines （SVM） classifier is proposed in this *** results show that the proposed algorithm outperforms other related spam filtering methods.

关键词： spam filtering neighborhood preserving embedding support vector machine text categorization

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Embedded digital-home control system based on Ad-Hoc wireles...

STAGED PROGRESSION MODEL FOR EPIDEMIC SPREAD ON HOMOGENEOUS AND HETEROGENEOUS NETWORKS

2010 International Conference on Remote Sensing (ICRS 2010)

作者： ZHANG Hai-yang school of information science and engineering Lanzhou University Lanzhou CHINA 730000 LI Bo-nian school of information science and engineering Lanzhou University Lanzhou CHINA 730000

This paper will introduce the process of how to build a digital-home control system upon an embedded platform which have S3C2440 chip as its heart and Linux 2.6.29 kernel as its OS （operating system）.USB interface wireless network card should be mounted,and its driver be installed,then AODV wireless routing protocol which is developed by Uppsala University in Sweden,should also be compiled and implanted to this platform,each node in this Ad-hoc WLAN is accessible,and data interchange between node and node is realized via background communicating service *** service process which is built on the gateway node has very friendly human-computer interaction interface,user login the interface with a computer which is connected to the internet can check the status of each home-appliance and also control them *** the camera installed at home been activated,user can check what have happened at home,his family is weather safe,or is there a robber? All this can be easily realized just by clicking the mouse,here digital-home idea is *** this system,home-appliances which are controlled remotely include light,window,television and air-conditioner,if need be,the items will be more.

关键词： digital-home home-appliance control Ad-hoc WLAN ARM9 Linux-2.6.29 kernel AODV

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Journal of Systems science & Complexity 2011年第4期24卷 619-630页

作者： Haifeng ZHANG Michael SMALL Xinchu FU school of Mathematical sciences Anhui University Hefei 230039 China. Department of Electronic and information engineering Hong Kong Polytechnic University Hung HornKowloon Hong Kong China. Department of Mathematics Shanghai University Shanghai 200444 China.

In this paper, epidemic spread with the staged progression model on homogeneous and heterogeneous networks is studied. First, the epidemic threshold of the simple staged progression model is given. Then the staged progression model with birth and death is also considered. The case where infectivity is a nonlinear function of the nodes＇ degree is discussed, too. Finally, the analytical results are verified by numerical simulations.

关键词： Complex network epidemic heterogenous homogeneous the staged progression model.

Sparse discriminant analysis for breast cancer biomarker identification and classification

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Progress in Natural science:Materials International 2009年第11期19卷 1635-1641页

作者： Yu Shi~(a,b),Daoqing Dai~(a,*),Chaochun Liu~(a,b),Hong Yan~(b,c) a Center for Computer Vision and Department of Mathematics,Sun Yat-Sen(Zhongshan) University,Guangzhou 510275,China b Department of Electric engineering,City University of Hong kong,83 Tat Chee Avenue,Kowloon,Hong kong,China c school of Electrical and information engineering,University of Sydney,NSW 2006,Australia Center for Computer Vision and Department of Mathematics Sun Yat-Sen (Zhongshan) University Guangzhou 510275 China Department of Electric engineering City University of Hong Kong 83 Tat Chee Avenue Kowloon Hong Kong China school of Electrical and information engineering University of Sydney NSW 2006 Australia

Biomarker identification and cancer classification are two important procedures in microarray data *** propose a novel unified method to carry out both *** first preselect biomarker candidates by eliminating unrelated genes through the BSS/WSS ratio filter to reduce computational cost,and then use a sparse discriminant analysis method for simultaneous biomarker identification and cancer ***,we give a mathematical justification about automatic biomarker *** results show that the proposed method can identify key genes that have been verified in biochemical or biomedical research and classify the breast cancer type correctly.

关键词： Biomarker identification Cancer classification Discriminant analysis Maximum penalized likelihood Microarray data analysis

波动方程FDTD算法的PML吸收边界条件的实现与验证

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微波学报 2004年第1期20卷 1-5页

作者：孔繁敏李康刘新郭毅峰山东大学信息科学与工程学院济南250100

实现了波动方程FDTD算法的PML吸收边界条件 (WE PML) ,并进行了数值验证。从结果可以看出 ,WE PML的性能与Berenger PML非常接近 ,优于Mur二阶近似吸收边界条件。同时 ,对PML媒质参数进行了优化 ,结果表明 :WE PML的性能主要是由PML的... 详细信息

实现了波动方程FDTD算法的PML吸收边界条件 (WE PML) ,并进行了数值验证。从结果可以看出 ,WE PML的性能与Berenger PML非常接近 ,优于Mur二阶近似吸收边界条件。同时 ,对PML媒质参数进行了优化 ,结果表明 :WE PML的性能主要是由PML的层数、垂直入射时的理论反射系数决定的 ,WE

关键词：波动方程 FDTD PML 吸收边界条件理想匹配层时域有限差分法电磁场

Anodic Electrosynthesis of Amide from Alcohol and Ammonia

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CCS Chemistry 2024年第1期6卷 125-136页

作者： Yuxuan Lu Yingying Li Bo Zhou Jingcheng Wu Ling Zhou Yuping Pan Zhongcheng Xia Ming Yang Yandong Wu Zhenran Yuan Rixin Peng Zhijie kong Shuangyin Wang Yuqin Zou State Key Laboratory of Chemo/Biosensing and Chemometrics College of Chemistry and Chemical EngineeringAdvanced Catalytic Engineering Research Center of the Ministry of EducationHunan UniversityChangsha 410082 Shenzhen Institute of Hunan University Shenzhen 518057 school of Chemistry and Chemical engineering Jishou UniversityJishouHunan 416000

Amide is essential in biologically active compounds,synthetic materials,and building ***,conventional amide production relies on energyintensive consumption and activating agents that modulate processes to construct the C–N ***,for the first time,we have successfully realized the formation of amides at industrial current density via the anodic coelectrolysis of alcohol and ammonia under ambient *** have proved thatmodulation of the interface microenvironment concentration of nucleophile by electrolyte engineering can regulate the reaction pathways of amides rather than acetic *** C-N coupling strategy can be further extended to the electrosynthesis of the long-chain and aryl-ring amide with high selectivity by replacing ammonia with *** work opens up a vast store of information on the utilization of biomass alcohol for high-value N-containing chemicals via an electrocatalytic C-N coupling reaction.

关键词： electrocatalysis electrocatalysts biomass upgrading elctrochemical oxidation coupling amide production

不同天气形势对南京地区双高污染的输送及潜在源区分析

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环境科学 2024年第2期45卷 626-634页

作者：秦阳胡建林孔海江中国气象局河南省农业气象保障与应用技术重点开放实验室郑州450003 河南省气象台郑州450003 南京信息工程大学环境科学与工程学院江苏省大气环境监测与污染控制高技术研究重点实验室南京210044 安阳国家气候观象台安阳455000

基于2015~2019年南京细颗粒物(PM_(2.5))和臭氧(O_(3))逐小时浓度数据,通过T-mode主成分分析法对南京发生PM_(2.5)和O_(3)污染同时高浓度并存(双高污染)时的天气形势进行了分型,利用后向轨迹聚类分析法、潜在来源贡献法(PSCF)和浓度权... 详细信息

基于2015~2019年南京细颗粒物(PM_(2.5))和臭氧(O_(3))逐小时浓度数据,通过T-mode主成分分析法对南京发生PM_(2.5)和O_(3)污染同时高浓度并存(双高污染)时的天气形势进行了分型,利用后向轨迹聚类分析法、潜在来源贡献法(PSCF)和浓度权重轨迹分析法(CWT)研究不同天气形势对南京双高污染的输送路径及潜在源区分布.结果表明,有利于南京地区双高污染的天气形势分别为弱的低压型(Type1)和高压中心型(Type2).天气形势会对后向轨迹的方位来源产生影响.Type1时,南京地区受到东北和西南两个低气压影响,气团的聚类轨迹主要来自东西两个方位,轨迹中ρ(PM_(2.5))和ρ(O_(3))平均值分别为83.48μg·m^(-3)和106.85μg·m^(-3).Type2时,南京及其周边在高压中心边缘,气团聚类轨迹主要来自北方和东方,轨迹中ρ(PM_(2.5))和ρ(O_(3))平均值分别为94.47μg·m^(-3)和92.32μg·m^(-3).同时两种类型后向轨迹绝大部分属于中短距离区域输送,说明周边临近省份的污染是影响南京地区双高污染主要原因之一.PSCF和CWT分析表明,两者高值区域基本保持一致.Type1和Type2两种类型中PM_(2.5)和O_(3)的最主要潜在源区均出现分布并不完全一致的情况,表明双高污染中的两种污染物并非来自同一地区.

关键词：双高污染天气分型污染输送路径潜在源区南京