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Radial basis function networks and nonparametric classification: complexity regularization and rates of convergence

Radial basis function networks and nonparametric classificat...

引用

International Conference on Pattern Recognition

作者： A. Krzyzak T. Linder Dept. of Comput. Sci. Concordia Univ. Montreal Que. Canada Department of Math. & Computer Sci Technical University of Budapest Budapest Hungary

The method of complexity regularization is applied to one hidden-layer radial basis function networks to derive regression estimation bounds and convergence rates for classification. Bounds on the expected risk in terms of the training sample size are obtained for a large class of activation functions, namely functions of bounded variation. Rates of convergence to the optimal loss are also derived.

关键词： Radial basis function networks Convergence Artificial neural networks Estimation error comput.r sci.nce Probability distribution Training data Entropy Yield estimation Random variables

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On the Processor Sharing Properties of File Transfers in a WLAN Testbed

On the Processor Sharing Properties of File Transfers in a W...

引用

International Conference on Evolving Internet, INTERNET

作者： Gerard Hoekstra Rob van der Mei Centre for Mathematics and Computer Science (CWI) Amsterdam The Netherlands Innovation Research & Technology Huizen The Netherlands Centre for Math. & Comput. Sci. (CWI) Amsterdam Netherlands

802.11-based WLAN deployments have become a commodity to provide today's wireless Internet access. In this paper, we conduct a practical study on the performance of FTP file transfers over real WLAN equipment. To this end, we propose a new analytic model that translates the highly complex dynamics of the FTP/TCP/IP/MAC-stack, and their interactions, into a single parameter, which will be called the effective load. The effective load is used to describe the flow-level behavior of FTP-based file transfers over WLANs without admission control as a Processor-Sharing (PS)-model. Next, despite the fact that PS models are heavily used in modeling flow-level performance in WLAN networks, an extensive validation of such models with real equipment has not been conducted. Motivated by this, we validate in the present paper our analytic model by comparing the model-based response times against the outcomes obtained from a testbed environment. The results show (a) that the obtained mean download times are fairly insensitive to the file-size distribution, as suggested by the PS-model, and (b) that the model leads to accurate predictions over a broad range of parameters combinations, including different file-size distributions and light- and heavy-load scenarios.

关键词： Wireless LAN Load modeling Analytical models Servers math.matical model Protocols IP networks

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Using the F2 OODBMS to support incremental knowledge acquisition

Using the F2 OODBMS to support incremental knowledge acquisi...

引用

International Symposium on Database Engineering and Applications (IDEAS)

作者： L. Ai-Jadir G. Beydoun Dept. of Math. & Comput. Sci. American Univ. of Beirut Lebanon Department of Mathematics and Computer Science American University of Beirut Beirut Lebanon

Ripple down rules (RDR) is an incremental knowledge acquisition (KA) methodology, where a knowledge base (KB) is constructed as a collection of rules with exceptions. Nested ripple down rules (NRDR) is an extension of this methodology which allows the expert to enter her/his own domain concepts and later refine these concepts hierarchically. In this paper we show similarities between incremental knowledge acquisition and database schema evolution, and propose to use the F2 object-oriented database management system (OODBMS) to implement an NRDR knowledge based system. We use the existing non-standard features of F2 and show how multiple instantiation and object migration (known as multiobjects feature in F2), and schema evolution capabilities in F2 easily accommodate all the update mechanisms required to incrementally build an NRDR KB. We illustrate our approach with a KA session.

关键词： Knowledge acquisition Object oriented databases Spatial databases Database systems Knowledge based systems Data engineering Knowledge engineering

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A Novel FPGA math.matical Technology Based AI-Fuzzy VCN Algorithm of Automation

A Novel FPGA Mathematical Technology Based AI-Fuzzy VCN Algo...

引用

International Workshop on Knowledge Discovery and Data Mining (WKDD)

作者： Ting-Fang Zhang Qiu-Sun Ye Dept. of Econ. & Math. Wuyi Univ. Wuyishan Dept. of Comput. Sci. & Eng. Wuyi Univ. Wuyishan

Field programmable gate array (FPGA) was a new material programmable logic units in end of the 20 th century, FPGA was with some properties such that, large memory of capacities, short delays of time, improvement able & flexibilities etc. On the basis theory of neural fuzzy system of Networks (NFSN), this paper gives a FPGA method of DNMA (Dynamic Numbers Measuring Algorithm) with VCN (Variable Carrying Numbers). The algorithm takes a reusing technique of VCR (Variable Carrying Rules) path, a process of middle-data to be shaped & placed in RAM. In the deep research & analysis of testing, this algorithm is practicable.

关键词： Field programmable gate arrays Automation programmable logic arrays Delay effects Fuzzy systems Heuristic algorithms Video recording Read-write memory Algorithm design and analysis Testing

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Sparse sensing for distributed gaussian detection

Sparse sensing for distributed gaussian detection

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： S. P. Chepuri G. Leus Fac. of Electr. Eng. Math. & Comput. Sci. (EEMCS) Delft Univ. of Technol. (TU Delft) Delft Netherlands

ISBN: (纸本)9781467369985

An offline sampling design problem for Gaussian detection is considered in this paper. The sensing operation ismodeled by a selection vector, whose sparsity order is determined by the prescribed global error probability. Since the numerical optimization of the error probability is difficult, equivalent simpler costs, viz., the Kullback-Liebler distance and Bhattacharyya distance are optimized. The sensing problem is formulated and solved sub-optimally using convex optimization techniques. It is shown that the sensing problem can be solved optimally for conditionally independent Gaussian observations. Further, we show that for non-identical sensor observations, the number of sensors required to achieve a certain detection performance decreases as the sensors become more correlated.

关键词： Sensor networks convex optimization detection sensor placement sensor selection sparse sensing sparsity sensor placement Sensor networks Error probability Convex function Sensors Gauss

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Research on Improved Weighted Fuzzy Clustering Algorithm Based on Rough Set

Research on Improved Weighted Fuzzy Clustering Algorithm Bas...

引用

International Conference on comput.r Engineering and Technology, ICCET

作者： Jian-guo Li Jing-wei Gao Dept. of Comput. Sci. Hebei Normal Univ. of Sci. & Technol. Qinhuangdao Coll. of Math. & Inf. Sci. Hebei Normal Univ. Shijiazhuang

Clustering is used to find out the objects that resemble each other and compose different groups, cluster analysis is an important job in data mining. This article brings the rough set into fuzzy cluster, by using the methods of attributes contracted in the rough set theory to improve the FCM algorithm; the improved algorithm had been proved a high precise ratio.

关键词： Fuzzy sets Clustering algorithms Partitioning algorithms Iterative algorithms Shape Algorithm design and analysis Databases Clustering methods Data engineering comput.r sci.nce

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Software Quality Evaluation of the Laboratory Information System Used in the Santa Catarina State Integrated Telemedicine and Telehealth System

Software Quality Evaluation of the Laboratory Information Sy...

引用

Annual IEEE Symposium on comput.r-Based Medical Systems

作者： João M. Alves Alexandre Savaris Christiane G. Von Wangenheim Aldo Von Wangenheim Postgraduate Program in Computer Science UFSC Florianópolis Brazil Postgrad. Program in Comput. Sci. Fed. Univ. of Santa Catarina Florianopolis Brazil Postgrad. Program in Comput. Sci. Universidade Federal de Santa Catarina Florianopolis SC BR

A laboratory information system (LIS) manages information about patients, examinations, results, and quality control. In this context, software quality is important in order to prevent risks for the patient. Studies show that many LISs have a low quality degree, and although the ISO/IEC 25010 standard defines software quality in general, so far there is no specific customization for a quality evaluation model tailored for such systems. This paper presents a case study applying a customized evaluation model - the AdEQUATE model - in order to evaluate the software quality of a LIS widely used in the State of Santa Catarina, Brazil - the LACEN system - from the perspective of its end users. Analyzing the characteristics of the LACEN system, we customized the AdEQUATE model - a model for quality evaluation of telemedicine systems based on the ISO/IEC 25010 standard through the use of a questionnaire. The questionnaire has been answered by 69 users (including physicians and biochemists), and its answers were analyzed using descriptive statistics. In general, the quality of the LACEN system has been considered as good, specifically for characteristics like effectiveness, efficiency, satisfaction, freedom from risk, functional suitability, and security. On the other hand, few characteristics have been considered of low quality, including performance efficiency and compatibility. Also, the collected data shows that it is feasible to use AdEQUATE's systematically derived questionnaire for detailed observations of quality degrees of the ISO/IEC 25010 standard characteristics and subcharacteristics.

关键词： Telemedicine Software quality IEC Standards ISO Standards Information systems Medical services

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Quasi-perfect Lee distance codes in Z/sub K//sup 2/

Quasi-perfect Lee distance codes in Z/sub K//sup 2/

引用

IEEE International Symposium on Information Theory

作者： B.F. Al-Mohammad B. Bose Dept. of Math. & Comput. Sci. Kuwait Univ. Safat Kuwait Dept. of Computer Science Oregon State University Corvallis OR USA

A construction of perfect/quasi-perfect Lee distance codes over Z/sub K//sup 2/ for any K is designed. The minimum distance and the covering radius of these codes are proved. Efficient decoding algorithms are investig... 详细信息

关键词： comput.r sci.nce math.matics Decoding Linear code

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Adaptive CFA Demosaicking Using Bilateral Filters for Colour Edge Preservation

Adaptive CFA Demosaicking Using Bilateral Filters for Colour...

引用

Asian Conference on Pattern Recognition (ACPR)

作者： Jim S. Jimmy Li Sharmil Randhawa Sch. of Comput. Sci. Eng. & Math. Flinders Univ. Adelaide SA Australia School of Computer Science Flinders University Adelaide Australia

Colour Filter Array (CFA) demosaicking is a process to interpolate missing colour values in order to produce a full colour image when a single image sensor is used. For smooth regions, a higher order of interpolation will usually achieve higher accuracy. However when there is a colour edge, a lower order of interpolation is desirable as it will avoid interpolation across an edge without blurring it. In this paper, a bilateral filter, which has been known to preserve sharp edges, is used to adaptively modify the weights for interpolation. When there is a colour edge, the weights will bias towards a lower order of interpolation using closer pixel values only. Otherwise, the weights will bias towards a higher interpolation for smooth regions. In order to avoid interpolation across a possible edge adjacent to the missing pixel location, four estimates using the adaptive bilateral filter are first determined for each cardinal direction. A classifier comprising a weighted median filter together with a bilateral filter is then used to produce an output of the missing colour pixel value from the four estimates. It has been shown that our proposed method has improved performance in preserving sharp colour edges with minimal colour artifacts, and it outperforms other existing demosaicking methods for most images.

关键词： Interpolation Image color analysis Image edge detection Arrays Color Accuracy Kernel

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The infinitary logic of sparse random graphs

The infinitary logic of sparse random graphs

引用

Annual Symposium on Logic in comput.r sci.nce

作者： J.F. Lynch J. Tyskiewicz Department of Mathematics and Computer Science Clarkson University Potsdam NY USA Dept. of Math. & Comput. Sci. Clarkson Univ. Potsdam NY USA

Let L/sub /spl infin//spl omega///sup /spl omega// be the infinitary language obtained from the first-order language of graphs by closure under conjunctions and disjunctions of arbitrary sets of formulas, provided only finitely many distinct variables occur among the formulas. Let p(n) be the edge probability of the random graph on n vertices. Previous articles have shown that when p(n) is constant or p(n)=n/sup -/spl alpha// and /spl alpha/>1, then every sentence in L/sub /spl infin//spl omega///sup /spl omega// has probability that converges as n gets large; however, when p(n)=n/sup -/spl alpha// and /spl alpha/<1 is rational, then there are first-order sentences whose probability does not converge. This article completes the picture for L/sub /spl infin//spl omega///sup /spl omega// and random graphs with edge probability of the form n/sup -/spl alpha//. It is shown that if /spl alpha/ is irrational, then every sentence in L/sub /spl infin//spl omega///sup /spl omega// has probability that converges to 0 or 1. It is also shown that if /spl alpha/=1, then there are sentences an the deterministic transitive closure logic (and therefore in L/sub /spl infin//spl omega///sup /spl omega//), whose probability does not converge.

关键词： Logic Convergence

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