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IEEE International Conference on Trust, Security and Privacy in comput.ng and Communications

作者： Hongyang Qu Zhiyong Yu Bin Guo Zhiwen Yu Huang Xu Xing Xie Sch. of Comput. Sci. Northwestern Polytech. Univ. Xi'an China Sch. of Math. & Comput. Sci. Fuzhou Univ. Fuzhou China Microsoft Res. Beijing China

ISBN: (纸本)9781509032068

Job mobility is common in modern society, especially in the industry of information and communication technology. Job mobility prediction is valuable both for employees and employers. For the sake of lacking appropriate and sufficient records of job mobility, the traditional methods meet a significant challenge in job mobility prediction. Fortunately, the emerging professional social network provides a large amount of users' career histories, which can alleviate this problem. In this paper, we collect relevant data from LinkedIn, and analyze the temporal and spatial characteristics to model the job mobility pattern. We propose an approach to predict the company size and position for the next job by using various features, such as the position, duration, and size of previous companies, education degree, etc. The experimental results verify the proposed approach with the accuracy up to 72% and 74% in terms of next company size prediction and next position prediction respectively.

关键词： Job mobility prediction Professional social networks Temporal and spatial characteristics

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Activity level of a neural net and its learning environment

Activity level of a neural net and its learning environment

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International Joint Conference on Neural Networks (IJCNN)

作者： K. Liu J.E. Jones Y. Chen Dept. of Appl. Math. & Comput. Sci. Colorado Sch. of Mines Golden CO USA

Summary form only given, as follows. When a neural net is used to solve continuous problems, the learning environment, which may influence convergence and accuracy, differs from that for true-false problems. Based on the energy model for a neural net, different activity levels of the net are generalized to learn one selected continuous problem-polynomial function. The training results showed that there are some optimal activity levels that lead the net to obtain better accuracy than that from other levels. The concepts of maximum energy and minimum energy (or 'thermal noise') are proposed to explain why it is possible for a net to achieve a good learning environment to fit to the continuous problems.< >

关键词： Neural networks Artificial neural networks Learning Artificial intelligence Educational institutions Convergence Polynomials Working environment noise

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Asymptotic Behavior for Random Walks in Time-Random Environment on Z^1

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Journal of math.matical Research and Exposition 2008年第1期28卷 199-206页

作者： HU Xue-ping ZHU Dong-jin Department of Mathematics Anqing Normal College Anhui 246011 China College of Math. ＆ Comput. Sci. Anhui Normal University Anhui 241000 China

In this paper, we give a general model of random walks in time-random environment in any countable space. Moreover, when the environment is independently identically distributed, a recurrence-transience criterion and the law of large numbers are derived in the nearest-neighbor case on Z^1. At last, under regularity conditions, we prove that the RWIRE {Xn} on Z^1 satisfies a central limit theorem, which is similar to the corresponding results in the case of classical random walks.

关键词： Keywords Random walks in time-random environment recurrence-transience criteria stronglaw of large numbers central limit theorem.

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Spare capacity assignment in telecom networks using path restoration 3

Spare capacity assignment in telecom networks using path res...

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3rd International Workshop on Modeling, Analysis, and Simulation of comput.r and Telecommunication Systems, MASCOTS 1995

作者： Veerasamy, J. Venkatesan, S. Shah, J.C. Comput. Sci. Program University of Texas at Dallas RichardsonTX75083 United States Alcatel Network Systems 1225 N. Alma Road RichardsonTX75081 United States

ISBN: (纸本)0818669020

Path restoration scheme can be used in augmenting existing telecommunication networks with adequate spare capacity to achieve a desired level of protection against link failures. Path restoration planning corresponds to the multi-commodity flow problem, which is comput.tionally hard. In this paper, we present the details of an approximation scheme for the path based restoration planning problem and an implementation. We then compare the performance of link and path restoration schemes. These schemes have been incorporated into the network planning tool under development at Alcatel Network Systems. © 1995 IEEE.

关键词： Restoration

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Integration and Optimization of the Closed-Loop Supply Chain Based on Random Demand and Random Recycling

Integration and Optimization of the Closed-Loop Supply Chain...

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International Conference on Wireless Communications, Networking and Mobile comput.ng (WiCom)

作者： Liu Cheng Wei Li Sch. of Math. Sci. & Comput. Technol. Centre South Univ. Changsha Changsha China

In the environment of asymmetric information, the traditional Stackelberg game strategy is to be changed, and at the same time, the focus of the supply chain is to be shifted towards the lower stream. This paper discusses the integration and optimization of the closed-loop supply chain based on random demand in three different recycling models. The expected profit functions of the manufacturer, the retailer, and the third party are acquired in these models, and the equilibrium of profit sharing among different levels of the supply chain is reached through the game theory and upstream incentives. The paper also discusses the ways for each recycling model to affect the wholesale price, retail price, and the profit of the whole channel, compares and analyses their differences in both stimulating the recycling and the supply chain profit.

关键词： Supply chains Recycling Data mining Humans Web pages Educational institutions Cities and towns comput.r sci.nce comput.tional modeling Testing

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Integrated real time multi-channel wavelength monitoring circuit using phased-Array waveguide grating

Integrated real time multi-channel wavelength monitoring cir...

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1999 Optical Fiber Communication Conference and the International Conference on Integrated Optics and Optical Fiber Communication, OFC/IOOC 1999

作者： Zhong, Shan Lee, Chau-Han Lin, Xiao Yang, Xiao-Hui Chen, Yung-Jui Stone, D. Dept. of Comput. Sci. and Electr. Eng. Maryland Univ. And Joint Program for Advanced Electronic Materials 1000 Hilltop Circle BaltimoreMD21250 United States

An integrated multichannel wavelength monitoring circuit using specially designed phased-Array waveguide grating and detector arrays, which monitors all wavelength-division multiplexing channels in real-Time (sixteen ... 详细信息

ISBN: (纸本)155752582X

关键词： Timing circuits

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Automatic Summarization for Chinese Text Based on Combined Words Recognition and Paragraph Clustering

Automatic Summarization for Chinese Text Based on Combined W...

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International Symposium on Intelligent Information Technology and Security Informatics, IITSI

作者： Chang-jin Jiang Hong Peng Qian-li Ma Jian-chao Chen Sch. of Comput. Sci. & Eng. South China Univ. of Technol. Guangzhou China Sch. of Math. &Comput. Sci. Guangdong Univ. of Bus. Studies Guangzhou China

With the tremendous amount of information available electronically, there is an increasing requirement for automatic text summarization systems. An extractive summarization method is represented. The weight of a Chinese word/phrase is comput.d based on its frequency, part of speech, position and length. The weight of a Chinese sentence is comput.d by its content, position, length and cue words in it. The adjacent paragraphs are clustered into same cluster or different clusters according to their similarity. The experiment results show that the proposed algorithm has a significantly better performance compared with the traditional automated summarization algorithms based on TF-ISF method.

关键词： Text recognition Clustering algorithms Dictionaries Data mining Natural languages Frequency Speech Information retrieval Artificial intelligence Information technology

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BM3D: motion estimation in time dependent volume data

BM3D: motion estimation in time dependent volume data

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IEEE Conference on Visualization

作者： W. de Leeuw R. van Liere Center for Math. & Comput. Sci. CWI Amsterdam Netherlands Center for Mathematics and Computer Science CWI Amsterdam Netherlands

This paper describes BM3D: a method for the analysis of motion in time dependent volume data. From a sequence of volume data sets a sequence of vector data sets representing the movement of the data is comput.d. A block matching technique is used for the reconstruction of data movement. The derived vector field can be used for the visualization of time dependent volume data. The method is illustrated in two applications.

关键词： Motion estimation Data visualization Optical mixing Image motion analysis Video compression comput.r graphics Optical comput.ng math.matics comput.r sci.nce Motion analysis

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Improved De-noising Algorithm on Heat Equation

Improved De-noising Algorithm on Heat Equation

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International Conference on Genetic and Evolutionary comput.ng (WGEC)

作者： Lixia Chen Sch. of Math. & Comput. Sci. Guilin Univ. of Electron. Technol. Guilin China

The heat equation has equal diffusions both in the gradient and the tangent direction, which can strongly smooth the important character of the image while de-noising. In order to better preserve the characteristic of an image, we must take different diffusions in different regions; therefore a weight function is used to induce diffusion in the gradient direction. The experimental results show improvements of the proposed model.

关键词： Noise reduction Laplace equations math.matics Nonlinear equations Genetics Temperature Image processing Image denoising Astronomy Remote sensing

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EEG source reconstruction performance as a function of skull conductance contrast

EEG source reconstruction performance as a function of skull...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： S. T. Hansen L. K. Hansen Dept. of Appl. Math. & Comput. Sci. Tech. Univ. of Denmark Lyngby Denmark

ISBN: (纸本)9781467369985

Through simulated EEG we investigate the effect of the forward model's applied skull:scalp conductivity ratio on the source reconstruction performance. We show that having a higher conductivity ratio generally leads to improvement of the solution. Additionally we see a clear connection between higher conductivity ratios and lower coherence, thus a reduction of the ill-posedness of the EEG inverse problem. Finally we show on real EEG data the stability of the strongest source recovered across conductivity ratios.

关键词： EEG source reconstruction Forward models Inverse problem Sparsity Variational approximation

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