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International Conference on Machine Learning and Applications (ICMLA)

作者： Na Luo Fuyu Yuan WanLi Zuo Fengling He Department of Computer Northeast Normal University China College of Computer Science and Technology Jilin University China State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied Chemistry Chinese Academy and Sciences China College of Computer Science and Technology Jilin University Changchun China

For the shortcomings in the method of traditional statistics-based feature extraction on PU issues, we put forward feature extraction based on ontology to improve the performance of PU classification. We improved PEBL algorithm, and get the document vector of positive set using ontology-based feature extraction, then find the strong positive features, which include the crossing semantics in the positive documents and have higher frequency in positive set. The improved algorithm scans the documents twice. First, we get the semantic of the documents by ontology. Second, we filtrate the terms which include none of these semantic to reduce the dimension and obtain the document vector. Experiments had shown that the improved PEBL classifier increases the F1 score by 0.7389%.

关键词： Ontologies Feature extraction Text categorization Educational institutions computer science Chemical technology Frequency Machine learning Application software Laboratories

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Pointwise Logic on Completely Distributive Lattices and Approximate Reasoning

Pointwise Logic on Completely Distributive Lattices and Appr...

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Yalin Zheng Guang Yang Jing Zheng Jinsheng Xing State Key Laboratory for Intelligent Technology and Systems Department of Automation Faculty of Information Science and Technology Tsinghua University Beijing China Research Center of Intelligent Information Technology Department of Computer Science and Technology Faculty of Software Dongguan University of Science and Technology Dongguan China Research Center of Dongguan Economy Department of Economy and Commerce Dongguan University of Science and Technology Dongguan China Faculty of Mathematics and Computer Science Shanxi Normal University Linfen China Research Center of System Engineering Faculty of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China

In this paper, we propose the basic framework of point- wise topological logic on completely distributive lattices and explore approximate reasoning in it. The logic of this paper is based on pointwise characterization, therefore the pointwise conception is pervasive. We explore approximate reasoning in abstract logical framework Fl on completely distributive lattice L. We propose the structure of point- wise topological logic F TL , the structure of matching function sigma. and the structure of matching neighborhood group. We investigate approximate reasoning in pointwise topological logic F TL with matching function sigma, develop pointwise topological algorithm of simple approximate reasoning, introduce the essential characteristics of this scheme.

关键词： Lattices Fuzzy logic computer science Knowledge engineering Fuzzy systems Information technology Laboratories Intelligent systems Automation Information science

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Research on rough set theory and applications in China

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Lecture Notes in computer science

作者： Wang, Guoyin Zhang, Qinghua Huang, Houkuan Ye, Dongyi Hu, Qinghua Hu, Xuegang Shi, Zhongzhi Li, Yongli Shang, Lin An, Liping Sai, Ying Chen, Shanben Liang, Jiye Qin, keyun Zeng, Huanglin Xie, Keming Miao, Duoqian Min, Fan Wu, Zhaocong Wu, Weizhi Dai, Jianhua Institute of Computer Science and Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Information Science and Technology Southwest Jiaotong University Chengdu 610031 China School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China College of Math. and Computer Fuzhou University Fuzhou 350002 China Harbin Institute of Technology PO Box 458 Harbin 150006 China School of Computer and Information Hefei University of Technology Hefei 230009 China Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Lanzhou University No.222 Tianshui South Rd. Lanzhou 730000 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Management Science and Engineering Department Business School Nankai University Tianjin 300071 China Shandong University of Finance No.40 Shun-geng Road Jinan 250014 China Welding Engineering Institute Shanghai Jiaotong University Shanghai 200030 China School of Computer and Information Technology Shanxi University Taiyuan 030006 China Intelligent Control Development Center Southwest Jiaotong University Chengdu 610031 China Artificial Intelligence of Key Laboratory Sichuan University of Science and Engineering Zigong 643000 China Department of Automation College of Information Engineering Taiyuan University of Technology Taiyuan 030024 China 4800 CaoAn Highway Shanghai 201804 China School of Computer Science and Technology University of Electronic Science and Technology of China Chengdu 610054 China School of Remote Sensing Information Engineering Wuhan University Wuhan 430079 China Institute for Information and System Sciences Faculty of Science Xi'an Jiaotong University Xi'an 710049 China Information College Zhejiang Ocean University Zhejiang 316004 China Institute of Artificial Intelligence Zhejiang University Hangzhou 310027 China

ISBN: (纸本)3540850635

This article gives a capsule view of research on rough set theory and applications ongoing at universities and laboratories in China. Included in this capsule view of rough set research is a brief description of the following things: Chinese research groups on rough set with their URLs for web pages, names of principal researchers (supervisors), numbers of graduate students, and topics being investigated. Statistical summaries showing the growth in the research on rough set theory and application in China are included. In addition, an introduction summarizing the research interests of Chinese researchers is included in this article. The contribution of this article is a complete overview of the principal research directions in rough set theory and its applications in China. © 2008 Springer-Verlag Berlin Heidelberg.

关键词： Rough set theory

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Solving Sum and Product Riddle via BDD-Based Model Checking

Solving Sum and Product Riddle via BDD-Based Model Checking

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Xiangyu Luo Kaile Su Abdul Sattar Yan Chen Tsinghua National Laboratory for Information Science and Technology Key Laboratory of Security for Information System of Ministry of Education School of Software Tsinghua University Beijing China Department of Computer Science Guilin University of Electronic and Technology Guilin China School of Electronics Engineering and Computer Science Peking University Beijing China Institute for Integrated and Intelligent Systems Griffith University Brisbane QLD Australia

We model the sum and product riddle in public announcement logic, which is interpreted on an epistemic Kripke model. The model is symbolically represented as a finite state program with n agents. A model checking method to the riddle is developed by using the BDD-based symbolic model checking algorithm for logic of knowledge we developed in [7]. The method is implemented by extending the model checker MCTK [7] and then the solution of the riddle is verified successfully.

关键词： Data structures Boolean functions IEEE news Intelligent agent Educational technology Automatic logic units Laboratories computer science Information science computer security

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RKN Methods Based on Exact Flows of Both Internal Stages and Update for Solving Perturbed Oscillators

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AIP Conference Proceedings 2008年第1期1048卷 605-608页

作者： Hongli Yang Xinyuan Wu Yonglei Fang Xiong You aState Key Laboratory for Novel Software Technology at Nanjing University Department of Mathematics Nanjing University Nanjing 210093 P.R. China bSchool of Mathematics and Computer Science Nanjing Normal University Nanjing 210097 P.R. China

In this paper, extended Runge‐Kutta‐Nyström type methods for perturbed oscillators with low frequency are presented, which inherit the framework of RKN method and make full use of the special feature of the true flows. Following the line of ***, *** and ***, we develop a new kind of trees to derive the order conditions for the new methods.

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On Existence and Uniqueness Results for Nonsmooth Implicit Differential Equations

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AIP Conference Proceedings 2008年第1期1048卷 613-616页

作者： Xiong You Xinyuan Wu Zhaoxia Chen Hongli Yang Yonglei Fang aState Key Laboratory for Novel Software Technology at Nanjing University Department of Mathematics Nanjing University Nanjing 210093 China bDepartment of Applied Mathematics Nanjing Agricultural University Nanjing 210095 China cCollege of Mathematics and Computer Science Nanjing Normal University Nanjing 210093 China

The classical implicit function theorem gives conditions that the function is Fréchet differentiable and the derivative is surjective. In this short article they are generalized to conditions of Lipschitz and monotone type. The newly obtained implicit function theorems are used to derive two sets of sufficient conditions for the existence and uniqueness of solutions to the initial value problems of nonsmooth implicit differential equations.

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A Fast Algorithm for Gene Expressing Data Biclustering

A Fast Algorithm for Gene Expressing Data Biclustering

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ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM

作者： Wei Liu Ling Chen Ling Qin Nanjing University of Aeronautics and Astronautics Nanjing Jiangsu CN 2Department of Computer Science Yangzhou University Yangzhou 225009 China3National Key Laboratory of Novel Software Technology Nanjing University Nanjing 210093 China Institute of Information Science and Technology Nanjing University of Aeronautics andAstronautics Nanjing 210016 China

A biclustering algorithm for gene expressing data is presented. Based on the anti-monotones property of the quality of the data sets with their sizes, the algorithm can get the final biclusters by gradually adding columns and rows on the data sets. Experimental results show that our algorithm has higher processing speed and quality of clustering than other similar algorithms.

关键词： Gene expression Clustering algorithms Algorithm design and analysis Bioinformatics software algorithms Biomedical engineering Iterative methods

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An Optimized Hierarchical Classifier for Pedestrian Detection

An Optimized Hierarchical Classifier for Pedestrian Detectio...

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7th World Congress on Intelligent Control and Automation (WCICA 2008), vol.3

作者： Yanwu Xu Xianbin Cao Hong Qiao Department of Computer Science and Technology University of Science and Technology Hefei China Anhui Province Key Laboratory of Software Computing and Communication Hefei China Institute of Automation Chinese Academy and Sciences Beijing China

Classification is an essential technology in Pedestrian Detection System (PDS). Until now, single-classifier and basic cascaded classifier had been widely used in PDS;however, most of them can hardly satisfy the 3 requirements at the same time: high detection speed, high detection rate and low false positive rate. In this paper, we proposed an optimized hierarchical classifier which can satisfy the 3 requirements. The proposed method adopted Corse-to-fine and Early-rejection principles to achieve global high performance. It consists of two hierarchies, the first one is used to quickly reject non-pedestrian objects and select out only a few candidates;the second one makes further verification to these candidates. Furthermore, each hierarchy was optimized with statistical models basing on experiments;and each hierarchy is a treelike classifier which has specific optimization demands. At last, an overall performance evaluation standard is proposed, and the experimental results showed that the proposed classifier had better overall performance.

关键词： Pedestrian detection Hierarchical classifier AdaBoost

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Ensemble approach to intrusion detection based on improved multi-objective genetic algorithm

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Ruan Jian Xue Bao/Journal of software 2007年第6期18卷 1369-1378页

作者： Yu, Yan Huang, Hao Department of Computer Science and Technology Nanjing University Nanjing 210093 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China

There exist some issues in current intrusion detection algorithms such as unbalanced detection performance on different types of attacks, and redundant or useless features that will lead to the complexity of detection model and degradation of detection accuracy. This paper presents an ensemble approach to intrusion detection based on improved multi-objective genetic algorithm. The algorithm generates the optimal feature subsets, which achieve the best trade-off between detection rate and false positive rate through an improved MOGA. And the most accurate and diverse base classifiers are selected to constitute the ensemble intrusion detection model by selective ensemble approach. The experimental results show that the algorithm can solve the feature selection problem of intrusion detection effectively. It can also achieve balanced detection performance on different types of attacks while maintaining high detection accuracy.

关键词： Intrusion detection

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Sketch-based cooperative diagramming tool for conceptual design

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Ruan Jian Xue Bao/Journal of software 2007年第SUPPL.期18卷 35-44页

作者： Jiang, Wei Sun, Zheng-Xing State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Department of Computer Science and Technology Nanjing University Nanjing 210093 China

Diagrams are used for representing design concepts and constructing function structure in the stage of conceptual design. This paper considers sketches as the language of communication in cooperative conceptual design and presents a tool that enables distributed participants to cooperatively construct diagrams in the form of freehand sketches. The tool is designed and implemented as a multi-agent system, which contains a set of agents to fulfill the requirements, including sketch-based interaction, sketch recognition, communication and coordination. The operating strategies of these agents are also addressed, including communication between agents, sketch recognition algorithm, and semantic consistency maintenance. The proposed approach is implemented in cooperative flowchart drawing.

关键词： computer supported cooperative work

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