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检索条件"任意字段=International Conference on Machine Learning and Computing（ICMLC 2009）"

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A rough set approach to selecting attributes for ordinal prediction

A rough set approach to selecting attributes for ordinal pre...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： J.W.T. Lee D.S. Yeung E.C.C. Tsang Department of Computing Hong Kong Polytechnic University Hong Kong China

Rough set theory has been successfully applied in selecting attributes to improve the effectiveness in derivation of decision trees/rules for classification. When the classification involves ordinal classes, the rough set reduction process should take into consideration the ordering of the classes. In this paper we propose a new way of evaluating and finding reducts for ordinal classification.

关键词： Set theory Information systems Information analysis Decision making Electronic mail Decision trees Classification tree analysis Data analysis Fuzzy set theory Context modeling

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Research on key conditional attributes and information measurement in mobile decision support

Research on key conditional attributes and information measu...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： De-Min Li Zhao-Han Sheng Jie Zhou Bingyong Tang College of Information Science and Technology Donghua Uinversity Shanghai China Graduate School of Management Science and Engineering Nanjing University Nanjing China

ISBN: (纸本)0780378652

This paper discusses the influence of conditional attributes on decision attribute, presents an order of conditional attributes and a method of searching key conditional attributes to decision by rough set theory. Considering the limited bandwidth in mobile computing environment, we describe a method of information measurement of the rule set of selected key attributes. And considering the balance between the number and the information of the rules, we provide a definition of the objective function of drawing rules and discuss its properties. Those contributions may provide some help for rule reduction and mobile decision support.

关键词： Mobile computing Information systems Bandwidth Volume measurement Set theory Technology management Engineering management Information science Electronic mail Delay effects

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A new method for edge detection

A new method for edge detection

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Ying Li Yan-Ning Zhang Rong-Chun Zhao Li-Cheng Jiao Key Laboratory for Signal Processing Xidian University Xi'an China Department of Computer Science and Engineering Northwest Polytechnical University Xi'an China

ISBN: (纸本)0780378652

A hybrid genetic quantum algorithm (GQA) is proposed for edge detection. GQA is based on the concept and principles of quantum computing such as qubits and superposition of states. By adopting qubit chromosome, GQA can represent a linear superposition of solutions due to its probabilistic representation. Thus, GQA has a better characteristic of diversity and better global search capability than classical approaches. We combine GQA and the local search technique to the problem of edge detection. Experiment results show that the algorithm perform well in terms of quality of the final edge image, rate of convergence and robustness to noise.

关键词： Image edge detection Pixel Cost function Quantum computing Signal processing algorithms Biological cells Computer science Genetic engineering Convergence Noise robustness

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PARCLE: a parallel clustering algorithm for cluster system

PARCLE: a parallel clustering algorithm for cluster system

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Bing Zhou Jun-Yi Shen Qin-Ke Peng Institute of Computer Software Xi''an Jiaotong University China Institute of Systems Engineering Xi''an Jiaotong University China

ISBN: (纸本)0780378652

As a low-cost, all-purpose parallel computing system with the advantages of easy usage and good dependability, the cluster system has become a popular platform in lots of fields. Clustering analyzing is one of the important problems in data mining. Because most of its objects are large-scale databases or high-dimension data, clustering requests more powerful computing availability. So how to develop parallel clustering algorithm based on cluster system deserves attention. This paper proposes a new parallel clustering algorithm called PARCLE for very large databases that are suitable for cluster system. This algorithm adopts data parallelism and asynchronous communication to reduce the communication costs. It applies a new clustering algorithm derived from BIRCH to improve the quality of clustering. Our implementation shows high speedups with negligible communication overheads and good clustering result not less that that of linear clustering algorithm.

关键词： Clustering algorithms Parallel processing Databases Partitioning algorithms Concurrent computing machine learning algorithms Data mining Asynchronous communication Software Systems engineering and theory

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A flexible load balancing in distributed systems

A flexible load balancing in distributed systems

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Ji-Hui Wang Xing-She Zhou Xiao-An Shi Jun-Gu Zhan Department of Computer Science Northwestern Polytechnical University Xi'an China

ISBN: (纸本)0780378652

Although CORBA, as middleware, has emerged as a promising means of solving problems of heterogeneity (e.g. heterogeneous hardware, operating systems, programming languages, etc.) in distributed environments. Undoubtedly, It makes applications more complex and bulky. Furthermore, failure only in CORBA component can make the whole application system crashed. So it is suggested that the distributed application systems should avoid adopting numerous CORBA service as possible for higher reliability. In this paper, we present a novel design approach to resolve the problem of resource management with few CORBA services as possible. Without using CORBA load balance service, we have successfully implemented load balance in high performance, complex distributed real-time computing system.

关键词： Load management Middleware Hardware Operating systems Computer languages Computer crashes Resource management Real time systems Distributed computing High performance computing

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Realization and evaluation of a decaying co-occurrence model based on parallel computing

Realization and evaluation of a decaying co-occurrence model...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Zhong Wang Lan-Shen Guo Pi-Lian He Xiao-Shen Zheng School of Electronics and Information Tianjin University TJU Tianjin China School of Mechanical Engineering Hebei University of Technology Tianjin China

ISBN: (纸本)0780378652

This paper proposes and realizes a decaying co-occurrence model, which can generate the thesaurus of similarity between words automatically. The model can get a more precise thesaurus because it considers the distance between words, which is unlike the common co-occurrence model. But its huge computation makes it impracticable in a very large corpus. In order to overcome this limitation, a parallel computing system for calculating the decaying co-occurrence model has been developed, and has been running successfully on the MPI cluster environment. High speedup and efficiency are obtained. This is a substantive step for the construction of basics resource of Chinese information processing.

关键词： Parallel processing Probability Thesauri Natural language processing Information processing Information retrieval Statistics High performance computing Logic Predictive models

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On the error sensitivity measure for pruning RBF networks

On the error sensitivity measure for pruning RBF networks

引用

international conference on machine learning and Cybernetics (icmlc)

作者： J. Sum Chi-sing Leung Department of Computing Hong Kong Polytechnic University Hung Hom China Department of Electronic Engineering City University of Hong Kong Kowloon Tong Hong Kong China

Error sensitivity measure is normally a commonly used factor for searching the optimal structure of a neural network. Starting with the derivation of a recursive equation for the update of a reduced order parametric vector based on the full order parametric vector, the error sensitivity measure for use in linear regressor and RBF network pruning is re-derived and an approximated error sensitivity measure identical to that of proposed in optimal brain damage has been obtained. Considering the training is accomplished by recursive least square method, an on-line training-pruning algorithm is proposed.

关键词： Radial basis function networks Equations Neural networks machine learning Cybernetics Training data Signal processing

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AGDRSCOM: a complicated dynamic real-time strong cooperation system model

AGDRSCOM: a complicated dynamic real-time strong cooperation...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Cheng Hua Ji Gao Jian Su Hai-Bo Chen School of Computing University of Zhejiang Hangzhou Zhejiang China

ISBN: (纸本)0780378652

Agent technology is a feasible way to implement modern complicated cooperation system. In this paper, we propose an agent cooperation model AgDRSCoM which can be applied to the complicated dynamic real-time strong cooperation system under the network environment. Based on this model, strong horizontal intra-agent group cooperation and vertical inter-agent group cooperation can be implemented in a new hierarchical structure which is designed for this model - agent group cluster. The efficiency and fault-tolerance of cooperation applied within the AgDRSCoM can be both improved.

关键词： Real time systems Layout Electronic mail Fault tolerance Fault tolerant systems Large-scale systems Virtual manufacturing machine learning Cybernetics

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Support vector machine in computer aided clinical electromyography

Support vector machine in computer aided clinical electromyo...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Hong-Bo Xie Zhi-Zhong Wang Hai Huang Chuan Qing Department of Biomedical Engineering Shanghai JiaoTong University Shanghai China

ISBN: (纸本)0780378652

Motor unit action potentials (MUAPs) recorded during routine electromyography (EMG) examination provides important information for the assessment of neuromuscular disorders. In this preliminary study, support vector machines (SVMs) based on multi-class classifier is activated for the identification of normal subjects and patients suffering from motor neuron diseases (MND) and myopathies (MVO). The results in experiments prove the classification validity of SVMs which guarantee high generalization ability on the testing samples. Furthermore, its performance is compared with a back-propagation (BP) neural network. More excellent recognition accuracy indicates the potential of the SVMs techniques in clinical neuromuscular disorders evaluation.

关键词： Support vector machines Electromyography Support vector machine classification Neuromuscular Diseases Neural networks Neurons Muscles machine learning Biomedical computing

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The design of a distributed network intrusion detection system IA-NIDS

The design of a distributed network intrusion detection syst...

引用

international conference on machine learning and Cybernetics (icmlc)

作者： Qiang Xue Lin-Lin Guo Ji-Zhou Sun Computer Science Department Tianjin University TJU Tianjin China

ISBN: (纸本)0780378652

An intelligent agent based distributed network intrusion detection system (IA-NIDS) is presented. Compared with the current network intrusion detection techniques, IA-NIDS uses the parallel technique to reform and detect the coming packet on the application layer, which widens the scale of intrusion detection. It uses intelligent distributed mutual agent technique to enhance the ability of real time response and uses mix detection method to improve the accuracy for detecting DDOS attacks.

关键词： Intrusion detection Application software Intelligent agent Computer crime Expert systems Statistical analysis Distributed computing Event detection Data security Information security

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