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International Joint Conference on Neural Networks (IJCNN)

作者： Pedro Antonio Gutierrez Cesar Hervas-Martinez Francisco J. Martinez-Estudillo Juan Carlos Fernandez Department of Computer Science and Numerical Analysis University of Córdoba Cordoba Spain Department of Management and Quantitative Methods ETEA Cordoba Spain

This paper proposes a hybrid multilogistic model, named multilogistic regression using initial and radial basis function covariates (MLRIRBF). The process for obtaining the coefficients is carried out in several steps. First, an evolutionary programming (EP) algorithm is applied, aimed to produce a RBF neural network (RBFNN) with a reduced number of RBF transformations and the simplest structure possible. Then, the input space is transformed by adding the nonlinear transformations of the input variables given by the RBFs of the best individual in the last generation. Finally, a maximum likelihood optimization method determines the coefficients associated with a multilogistic regression model built on this transformed input space. In this final step, two different multilogistic regression algorithms are applied, one that considers all initial and RBF covariates (MLRIRBF) and another one that incrementally constructs the model and applies cross-validation, resulting in an automatic covariate selection (MLRIRBF*). The methodology proposed is tested using six benchmark classification problems from well-known machine learning problems. The results are compared with the corresponding multilogistic regression methodologies applied over the initial input space, to the RBFNNs obtained by the EP algorithm (RBFEP) and to other competitive machine learning techniques. The MLRIRBF* models are found to be better than the corresponding multilogistic regression methodologies and the RBFEP method for almost all datasets, and obtain the highest mean accuracy rank when compared to the rest of methods in all datasets.

关键词： Neural networks Logistics Machine learning algorithms Machine learning Genetic programming Input variables Optimization methods Benchmark testing Pattern recognition Pattern classification

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Erratum to: Inexact constraint preconditioners for linear systems arising in interior point methods

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Computational Optimization and Applications 2009年第2期49卷 401-406页

作者： Luca Bergamaschi Jacek Gondzio Manolo Venturin Giovanni Zilli Department of Mathematical Methods and Models for Scientific Applications University of Padua Padua Italy School of Mathematics University of Edinburgh Edinburgh UK Department of Computer Science University of Verona Verona Italy

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Carbon nanotube coated high-throughput neurointerfaces in assistive environments 09

Carbon nanotube coated high-throughput neurointerfaces in as...

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2nd International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2009

作者： Romero-Ortega, Mario I. Butt, Ali R. Iqbal, Samir M. Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg VA United States Department of Electrical Engineering Nanotechnology Research and Teaching Facility University of Texas at Arlington Arlington TX United States Department of Biomedical Engineering University of Texas at Arlington Arlington TX United States

ISBN: (纸本)9781605584096

Loosing motor activity due to impaired or damaged nerves or muscles affects millions of people world-wide. The resulting lack of mobility and/or impaired communication bears enormous personal, economical and social costs. While several assistive technologies exist, they rely on device surrogates to compensate for the lack of movement and thus provide limited utility and unnatural interface with the user. The ability of interfacing populations of neurons with super high-density multielectrode arrays (SD-MEA) can provide the sensing from and control of bionics devices by thought. Here we propose a neurointerfacing approach using SD-MEAs coated with carbon nanotubes and high-speed computing to overcome latency and long-term electrical viability bottlenecks that are essential in assistive environments. The proposed approach provides ability for fast integration of recording/stimulation from thousands of individually addressable electrodes, while coordinating a real-time computing approach to register, recognize, analyze and respond appropriately to the biological signals from the motor neurons and sensory signals from the robotic prosthesis. Copyright 2009 ACM.

关键词： Carbon nanotubes

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Comparative Analysis of Motifs in Giant Strong Component of Metabolic Networks

Comparative Analysis of Motifs in Giant Strong Component of ...

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International Conference on Computational Intelligence and Natural Computing, CINC

作者： Wei Liu Dewu Ding Department of Modern Education Technology and Teaching Ludong University Yantai China Department of Mathematics and Computer Science Chizhou College Chizhou China

In this paper, comparison of network motifs in giant strong component (GSC) of metabolic networks is proposed and presented. Firstly, the use of metabolic reaction data to generate metabolic networks of 10 organisms from different categories is achieved. Subsequently, the GSC of each metabolic network was extracted and the network motifs of these GSCs are studied. The results showed that the motifs found are different among taxonomies, but quite consistent within the taxonomy. It suggested that analysis of network motifs in GSCs might more helpful to understand fundamental organizational principles of metabolic networks.

关键词： Biochemistry Taxonomy Organisms Systems biology Complex networks Databases Statistics Computational intelligence computer networks computer science education

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Track-centric metrics for track fusion systems

Track-centric metrics for track fusion systems

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International Conference on Information Fusion

作者： Robert Canavan Claire McCullough William J. Farrell Department of Computer Science and Engineering University of Tennessee Chattanooga Chattanooga TN USA Research and Development Department Adaptive Methods Inc. Centreville VA USA

ISBN: (纸本)9780982443804

In order to reduce the labor-intensive nature of evaluating quality of fused tracks in a multi-sensor, multi-platform environment, the metrics assessment system (MAS) was developed to provide heavily automated, real-time metric calculation and display. The MAS presents metrics in tables and graphs within the tactical display and provides overlays on the tactical display for focused assessment. Originally, MAS included standard kinematic metrics, but more recent work has generated additional metrics based on track-to-track versions of track purity, target effectiveness, and assignment accuracy, metrics derived from a confusion matrix analysis of the fused and known truth tracks, and receiver operating characteristic curves. Data mining tools were used to assess the effectiveness of candidate metrics for inclusion in the MAS. This paper describes the metrics, the evaluations, and the framework for metric assessment which this work has provided.

关键词： Target tracking Data mining Performance evaluation System testing Sea measurements Performance analysis Performance gain computer science computer displays Kinematics

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An automatic course generation system for organizing existent learning objects using particle swarm optimization

An automatic course generation system for organizing existen...

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4th International Conference on E-Learning and Games, Edutainment 2009

作者： Lin, Yen-Ting Cheng, Shu-Chen Yang, Jin-Tan Huang, Yueh-Min Department of Engineering Science National Cheng Kung University No. 1 Ta-Hsueh Road Tainan 701 Taiwan Department of Computer Science and Information Engineering Southern Taiwan University of Technology No. 1 Nantai St Yung-Kang City Tainan 710 Taiwan Department of Teaching Chinese As A Second Language Ming Chuan University No. 250 Sec. 5 Zhong Shan North. Road Taipei 111 Taiwan

ISBN: (纸本)3642033636

The purpose of this study is to consider that how to help instructors re-organize a well-structured teaching material utilizing existing learning objects. To cope with this problem, this study adopts a novel approach - particle swarm optimization (PSO) to achieve this aim. By employing this algorithm, the proposed approach can automatically re-organize a teaching material and meet multiple criteria specified by the instructors. In addition, evaluation results have demonstrated that the proposed approach is applicable that can help most instructors re-organize teaching materials efficiently and effectively. © 2009 Springer Berlin Heidelberg.

关键词： Particle swarm optimization (PSO)

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Achieving greater anonymity in network latency

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通讯和计算机（中英文版） 2009年第12期6卷 38-46页

作者： Longy O. Anyanwu Jared Keengwe Gladys A. Arome Mathematics and Computer Science Fort Hays State University Hays Kansas 67601 USA Department of Teaching and Learning University of North Dakota ND 58202 USA Department of Media and Instructional Tech Florida Atlantic University FL 33431 USA

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A model academic ethics and integrity policy for computer science departments

SIGCSE Bulletin Inroads

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SIGCSE Bulletin Inroads 2009年第1期41卷 357-361页

作者： Riedesel, Charles P. Manley, Eric D. Poser, Susan Deogun, Jitender S. Department of Computer Science and Engineering College of Law University of Nebraska at Lincoln Lincoln NE 68588 United States Kutak Center for the Teaching and Study of Applied Ethics College of Law University of Nebraska at Lincoln Lincoln NE 68588 United States

For decades, US universities and colleges have had policies pertaining to the conduct of their students at the institutional level. These policies are referred to as Academic Integrity Policies or Codes of Conduct. The Code of Ethics, instituted by Association of Computing Machinery (ACM) has been the standard for the computing sciences profession for over 15 years. However, the traditional institution-wide academic integrity policies have not adapted to the complexities that arose from rapid progress in information technology (IT) and thus either fail to address or are in conflict with the nature of problems in computer science education. In this paper, we propose a model for development and implementation of an academic ethics policy (ethics is a broader concept that includes integrity) that addresses the challenges imposed by information technology vis-á-vis the best modern teaching practices in computer sciences and engineering. Implementing policies that are more in line with the methods of industry and compatible with newer educational pedagogies should make the whole educational environment more engaging to students.

关键词： Students

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Empirical usage metadata in learning objects

Empirical usage metadata in learning objects

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Frontiers in Education (FIE) Conference

作者： Gwen Nugent Kevin Kupzyk S. A. Riley L. D. Miller Jesse Hostetler Leen-Kiat Soh Ashok Samal Nebraska Center for Research on Children Youth Families and Schools University of Nebraska Lincoln USA Department of Educational Psychology Quantitative and Qualitative Psychometric Methods University of Nebraska Lincoln USA Department of Computer Science and Engineering University of Nebraska Lincoln USA

The iLOG Project (intelligent learning object guide) is designed to augment multimedia learning objects with information about (1) how a learning object has been used, (2) how it has impacted instruction and learning, and (3) how it should be used. The goal of the project is to generate metadata tags from data collected while students interact with learning objects; these metadata tags can then be used to help teachers identify learning objects that match the educational and experiential backgrounds of their students. The project involves the development of an agent-based intelligent system for tracking student interaction with learning objects, in tandem with an extensive learning research agenda. This paper provides an overview of this NSF-funded project, focusing on the instructional approach and research on varying levels of active learning and feedback. Using a randomized design and a hierarchical linear modeling framework, research showed that the active learning conditions resulted in significantly higher student learning. The elaborative feedback results approached (p = .056), but did not reach, the established significance criteria of alpha = .05. Both active learning conditions and one of the elaborative feedback conditions resulted in significantly higher content assessment scores compared to a control group.

关键词： Feedback Production Intelligent systems Intelligent agent computer science education Assembly Courseware Concrete Guidelines Graphics

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Geovisualization of tourist activity travel patterns using 3D GIS: An empirical study of Tamsui, Taiwan

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World Academy of science, Engineering and Technology 2009年 36卷 401-405页

作者： Lin, Meng-Lung Chu, Chien-Min Tsai, Chung-Hung Chen, Chih-Cheng Chen, Chen-Yuan Department of Tourism Aletheia University Taiwan Department of Geography National Taiwan University Taiwan Information Teaching Center Taiwan Hospitality and Tourism College Hualien Taiwan Department of Physical Education Center for General Education Aletheia University Taiwan Department of Computer Science National Pingtung University of Education Taiwan

The study of tourist activities and the mapping of their routes in space and time has become an important issue in tourism management. Here we represent space-time paths for the tourism industry by visualizing individual tourist activities and the paths followed using a 3D Geographic Information System (GIS). Considerable attention has been devoted to the measurement of accessibility to shopping, eating, walking and other services at the tourist destination. I turns out that GIS is a useful tool for studying the spatial behaviors of tourists in the area. The value of GIS is especially advantageous for space-time potential path area measures, especially for the accurate visualization of possible paths through existing city road networks. This study seeks to apply space-time concepts with a detailed street network map obtained from Google Maps to measure tourist paths both spatially and temporally. These paths are further determined based on data obtained from map questionnaires regarding the trip activities of 40 individuals. The analysis of the data makes it possible to determining the locations of the more popular paths. The results can be visualized using 3D GIS to show the areas and potential activity opportunities accessible to tourists during their travel time.

关键词： Geographic information systems

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