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Automatic text categorization based on angle distribution

Automatic text categorization based on angle distribution

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Tao Liu Jun Guo School of Information Engineering Beijing University of Posts and Telecommunications Beijing China

In order to improve the performance of Chinese text categorization, a new Chinese text categorization method based on angle distribution is presented. The new method describes the text with a more precise model and proposed a new categorization algorithm by employing angle distribution. Simulation results on open Chinese text collection show that the precision and recall of most classes have been increased with reference to the classical method, and the macro average of precision and recall are both about 72 percents, which certificating the effectiveness and feasibility of the angle distribution-based algorithm.

关键词： Text categorization Classification tree analysis machine learning machine learning algorithms Distributed computing Web sites Information retrieval Content based retrieval Regression tree analysis Nearest neighbor searches

来源：评论

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Task scheduling using performance-driven

Task scheduling using performance-driven

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Jing-Bo Yuan Shun-Li Ding Jiu-Bin Ju Liang Hu College of Computer Science and Technology Jilin University Changchun Jilin China Department of Computer Engineering Northeast University Qinhuangdao China

Computational grids aim to aggregate the power of heterogeneous, geographically distributed, multiple-domain spanning computational resources to provide high performance or high-throughput computing. To achieve the promising potentials of computational grids, an effective and efficient scheduling system is fundamentally important. Grid is also a dynamic resource-sharing computing environment in which there are many applications running. At time of scheduling decision making, accurate resource predication on run-time resource measurement parameters is critical to maximize application performance. In this paper, a method for estimating task running time and two scheduling algorithms are presented to facilitate effectively dynamic scheduling in a heterogeneous grid environment and improve application performance.

关键词： Grid computing Processor scheduling Distributed computing High performance computing Aggregates Decision making Runtime Time measurement Scheduling algorithm Dynamic scheduling

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A model for ranking sentence pairs in parallel corpora

A model for ranking sentence pairs in parallel corpora

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Yi-Dong Chen Xiao-Dong Shi Chang-Le Zhou Qing-Yang Hong Department of Computer Science Xiamen University Xiamen Fujian China

In this paper, the problem of ranking sentence pairs in parallel corpora was addressed for the first time. To solve this problem, a novel model was proposed. In this model, both syntax features and semantics features of sentence pairs are considered. Since most today's statistical machine translation models depend on word alignment, features related to word alignment information are also included. Two experiments were carried out and the results showed that the model had promising performance.

关键词： Surface-mount technology Computer science Statistical analysis Large-scale systems Concurrent computing machine learning Cybernetics

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Separating two classes of samples using support vectors in a convex hull

Separating two classes of samples using support vectors in a...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Cong-Xin Wu Yeung Tsang Department of Mathematics Harbin Institute of Technology Harbin China Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

In this paper, we present the necessary and sufficient conditions of two finite classes of samples that can be separated by a hyperplane in terms of support vectors which are just the vertices of a convex hull of each class of samples. We also extend the calculating formula of the margin of an optimal separating hyperplane to some cases of the classes of infinite samples in Hilbert space. These results are the generalization and improvement of the corresponding results for the theory of SVM in Euclidian space.

关键词： Hilbert space Support vector machines Support vector machine classification Mathematics Sufficient conditions Pattern recognition Data mining Geometry machine learning Cybernetics

来源：评论

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Evaluation of a Small Scale Cluster computing System for Parallel Intelligent Techniques Applications

Evaluation of a Small Scale Cluster Computing System for Par...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Chun-Che Fung Jia-Bin Li Myers Centre for Enterprise Collaboration in Innovative Systems School of IT Murdoch University WA USA Centre for Enterprise Collaboration in Innovative Systems School of IT Murdoch University WA Australia Department of Electrical and Computer Engineering Curtin University of Technology WA USA

A small scale distributed computing system that is able to meet the needs of parallel intelligent techniques for engineering and science applications is reported in this paper. The reported system is a cluster of general-purpose PCs interconnected in a network. Such systems are powerful yet low cost. While such systems are not new, most applications written for cluster systems are programmed in MPI-C. Results from the proposed system have shown that it is advantageous to use Java due to its simplicity and mobility. Hence, the goal of this research is to design a Java-based parallel platform for efficient execution of intelligent techniques for engineering and science applications on a cluster system.

关键词： Concurrent computing Intelligent systems Java Power engineering computing Distributed computing Power engineering and energy Personal communication networks Power system interconnection Costs Design engineering

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A novel adaptive transfer method oriented global distributed storage system

A novel adaptive transfer method oriented global distributed...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Wei-Jin Jiang Yu-Hui Xu Yu-Sheng Xu Department of Computer Zhuzhou Institute of Technology Zhuzhou China Department of Information & Computing Science Zhuzhou Institute of Technology Zhuzhou China College of Mechanical Engineering and Applied Electronics Beijing University of Technology Beijing China

The efficiency of transferring a pack of small-sized flies or a large-sized file is very low in FTP based file transfer system. To solve this problem, we have studied the optimized method of different types of file transfer and present an adaptive transfer algorithm. Based on this algorithm. We design and implement the file transfer subsystem of global distributed storage system.

关键词： Distributed computing Sockets Prototypes Packaging Adaptive systems Educational institutions Mechanical engineering Optimization methods Environmental management Positron emission tomography

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A P2P global trust model based on recommendation

A P2P global trust model based on recommendation

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Zhen Zhang Xiao-Ming Wang Yun-Xiao Wang Department of Computer Science Jinan University Guangzhou China College of Computer Science and Technology Jilin University China

Peer-to-peer network can be seen as truly distributed computing system. Each peer is both a client and a server in these networks. The trust between peers cannot be set up simply on the traditional trust mechanism. A reasonable trust construction approach comes from the social network analysis. Trust relations between individuals are set up upon recommendations of other individuals. In this paper, we propose a recommendation-based global trust model for peer-to-peer network, which is easy to implement. Then we introduce some security mechanism into this model to defense several attacks, such as tamper, pretend, slander and exaggerate.

关键词： Peer to peer computing Social network services Computer science Network servers Monitoring Educational institutions Electronic mail Distributed computing Authentication Protection

来源：评论

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引用

international conference on machine learning and Cybernetics (icmlc)

作者： Ming-Hu Ha Hai-Jun Li Yan Li Peng Wang College of Mathematics and Computer Sciences Hebei University Baoding China College of Physics Science and Technology Hebei University Baoding China

In the fuzzy reasoning of expert system, similarity-based fuzzy reasoning method is a kind of simple and important method. This paper indicates the limitation of an existing similarity measure and its algorithm, and proposes an improved similarity measure and reasoning method. We give an example and comparison of two methods to show the superiority of the new algorithm.

关键词： Fuzzy reasoning Hybrid intelligent systems Educational institutions Expert systems Fuzzy systems Mathematics Physics computing Production systems Information processing Knowledge representation

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Convergence of discrete Hopfield neural networks with multiple delays

Convergence of discrete Hopfield neural networks with multip...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Xue-Gang Li Tsang Shen-Shan Qiu Ming Yang Yichun Branch College Yichun Vocational Institute Heilongjiang University China Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China Hebei University Baoding China ShenZhen Polytechnic Shenzhen China

This paper investigates convergence theorems of (HNNMDs). (The discrete Hopfield network with multiple delays). We have demonstrated how to transform a network with multiple delays to a new network with a single delay... 详细信息

关键词： Convergence Hopfield neural networks Neurons Delay effects Equations Educational institutions Computer networks Electronic mail Discrete transforms Stability analysis

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Construction of low false alarm and high precision RBFNN for detecting flooding based denial of service attacks using stochastic sensitivity measure

Construction of low false alarm and high precision RBFNN for...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Ng Chan Yeung Tsang Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

A good intrusion detection system (IDS) should have high precision on detecting attacks and low false alarm rates. machine learning techniques for IDS usually yield high false alarm rate. In this work, we propose to construct host-based IDS for flooding-based denial of service (DoS) attacks by minimizing the generalization error bound of the IDS to reduce its false alarm rate and increase its precision. Experiments using artificial datasets support our claims.

关键词： Floods Computer crime Stochastic processes Intrusion detection machine learning Covariance matrix Stochastic systems Neural networks Web and internet services Knowledge based systems

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