Regression analysis

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In statistics, regression analysis includes any techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables. (Wikipedia.org)






Conferences related to Regression analysis

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2013 Winter Simulation Conference - (WSC 2013)

WSC is the premier international forum for disseminating recent advances in the field of system simulation. In addition to a technical program of unsurpassed scope and quality, WSC provides the central meeting for practitioners, researchers, and vendors.

  • 2012 Winter Simulation Conference - (WSC 2012)

    The Winter Simulation Conference (WSC) is the premier international forum for disseminating recent advances in the field of system simulation. In addition to a technical program of unsurpassed scope and quality, WSC provides the central meeting place for simulation practitioners, researchers, and vendors working in all disciplines in industrial, governmental, military, and academic sectors.

  • 2011 Winter Simulation Conference - (WSC 2011)

    The Winter Simulation Conference (WSC) is the premier international forum for disseminating recent advances in the field of system simulation. In addition to a technical program of unsurpassed scope and quality, WSC provides the central meeting place for simulation practitioners, researchers, and vendors working in all disciplines in industrial, governmental, military, and academic sectors.

  • 2010 Winter Simulation Conference - (WSC 2010)

    The theory and practice of stochastic simulation, including modeling, analysis and a diverse range of applications.

  • 2009 Winter Simulation Conference - (WSC 2009)

    The Winter Simulation Conference (WSC) is the premier international forum for disseminating recent advances in the field of system simulation. In addition to a technical program of unsurpassed scope and quality, WSC provides the central meeting place for simulation practitioners, researchers, and vendors working in all disciplines and in the industrial, governmental, military, and academic sectors. WSC'09 will feature a comprehensive program ranging from introductory tutorials to state-of-the-art research a

  • 2008 Winter Simulation Conference - (WSC 2008)

    The theory and practice of stochastic simulation, including modeling, analysis, and a diverse range of applications.

  • 2007 Winter Simulation Conference - (WSC 2007)

    The theory and practice of stochastic simulation, including modeling, analysis and a diverse range of applications.

  • 2006 Winter Simulation Conference - (WSC 2006)

  • 2005 Winter Simulation Conference - (WSC 2005)


2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Industrial Informatics, Computational Intelligence, Control and Systems, Energy and Environment, Mechatronics, Power Electronics, Signal Processing, Network and Communication Technologies.


2012 IEEE 12th International Conference on Data Mining (ICDM)

ICDM has established itself as the world's premier research conference in data mining covering all aspects of data mining in a wide range related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing.

  • 2011 IEEE 11th International Conference on Data Mining (ICDM)

    The conference provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. It covers all aspects of data mining and draws researchers and application developers from a wide range of data mining related areas.

  • 2010 IEEE 10th International Conference on Data Mining (ICDM)

    The IEEE International Conference on Data Mining (ICDM) has established itself as the world's premier research conference in data mining. The 10th edition of ICDM (ICDM '10) provides a leading forum for presentation of original research results, as well as exchange and dissemination of innovative,practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications

  • 2009 IEEE International Conference on Data Mining (ICDM)

    The conference covers all aspects of data mining, including algorithms, software and systems, and applications. In addition, ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing.

  • 2008 IEEE International Conference on Data Mining (ICDM)

    Conference covers all aspects of data mining,algorithms,software & systems, and applications.ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high performance computing.

  • 2007 IEEE International Conference on Data Mining (ICDM)


2011 7th Central and Eastern European Software Engineering Conference in Russia (CEE-SECR 2011)

CEE-SECR is the premier software engineering conference in Russia. Up to 1000 participants from over 20 countries are expected to attend the event, presenting and discussing innovations, trends, results, experiences and concerns in the field of software engineering.

  • 2010 6th Central and Eastern European Software Engineering Conference in Russia (CEE-SECR 2010)

    For the software companies, this conference is a great opportunity to present and observe the most recent innovations, trends, practices, and ideas in software engineering. For professionals, it is a perfect chance to get the latest technical information and insights from Eastern-European, Western-European, and US industry leaders and technical experts. For scientists and academia, this is a way to present their findings and software research and find out the current industry needs and standards.

  • 2009 5th Central and Eastern European Software Engineering Conference in Russia (CEE-SECR 2009)

    CEE-SECR 2009 will act as an international forum for in-depth and substantive discussion on the emerging technologies and methodologies being developed to overcome the challenges that exist in different areas of software engineering.


2011 Fourth International Joint Conference on Computational Sciences and Optimization (CSO)

The CSO2011 conference is to bring together computational scientists, applied mathematicians, computational engineers, industrial practitioners and researchers to present, discuss and exchange ideas, results and experiences in the area of computational sciences, applied computing, optimization theory and inter-disciplinary applications.

  • 2010 Third International Joint Conference on Computational Sciences and Optimization (CSO)

    The CSO 2010 joint conference will provide an idea-exchange and discussion platform for the world s researchers and academia, where internationally recognized researchers and practitioners share cutting-edge information, address the hottest issue in computational science and optimization, explore new computational technologies, exchange and build upon new ideas. And meantime the joint conference will also provide researchers and practitioners an opportunity to highlight innovative research directions, and


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Periodicals related to Regression analysis

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Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


Semiconductor Manufacturing, IEEE Transactions on

Addresses innovations of interest to the integrated circuit manufacturing researcher and professional. Includes advanced process control, equipment modeling and control, yield analysis and optimization, defect control, and manufacturability improvement. It also addresses factory modelling and simulation, production planning and scheduling, as well as environmental issues in semiconductor manufacturing.


Systems, Man and Cybernetics, Part A, IEEE Transactions on

Systems engineering, including efforts that involve issue formnaulations, issue analysis and modeling, and decision making and issue interpretation at any of the life-cycle phases associated with the definition, development, and implementation of large systems. It will also include efforts that relate to systems management, systems engineering processes and a variety of systems engineering methods such as optimization, modeling and simulation. ...


Systems, Man, and Cybernetics, Part B, IEEE Transactions on

The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...




Xplore Articles related to Regression analysis

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The Relationship Between Summer Weather and Summer Loads - A Regression Analysis

G. T. Heinemann; D. A. Nordmian; E. C. Plant IEEE Transactions on Power Apparatus and Systems, 1966

When summer air conditioning contributes significantly to an electric utility's system peak load, it is useful, for load forecasting purposes, to separate total system load into two components: temperature-sensitive load and nontemperature-sensitive load. Examination of historical data indicates that temperature-sensitive loads depend not only upon coincident but also antecedent weather conditions. Regression analysis techniques using a digital computer have shown ...


Chronic effects of epicardial patch electrodes on transthoracic defibrillation

W. C. McDaniel; E. R. Pope; J. T. Walls; Qin Zhang; M. D. Sullivan; M. C. Hogan; Xiao-Feng Yang; J. J. Curtis Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 1995

Patients occasionally have epicardial patch electrodes implanted without a functional generator, and may need to be defibrillated transthoracically. Studies in acute animal models indicate these patches adversely effect the ability to defibrillate externally, on the day of surgery. However a study of patients 3 weeks after implant surgery, failed to demonstrate this adverse effect. Here a chronic animal model is ...


Evaluation of The Quality of life outcomes of Women and Man with coronary artery disease using fuzzy regression analyses

S. Eini; Z. Zeybek; M. M. Ozkan; F. Ahmedi 2008 IEEE International Conference on Computational Cybernetics, 2008

Regression is one of the efficient tools that are used in statistics. Obviously, when we want to explain the an accuracy between statistic variables caused by fuzzy quantities instead of probable structure, we should create other tools that enable us to estimate uncertain parameters under condition of new structure. Fuzzy linear regression is a method for estimation of fuzzy parameters ...


Research on videophones' form based on kansei engineering

Fu Guo; Lihuan Mu; Tian Tian; Wenqiang Lin; Yong Zhang 2009 16th International Conference on Industrial Engineering and Engineering Management, 2009

Taking the videophone for example, this study developed a process and method of product form perception based on customer preferences. This study proposed the process of product form perception evaluation scale which includes 17 appraisal words and 10 representative pictures by questionnaires, multidimensional scaling, and cluster analysis method. Then it established the relationship model between consumer preference and image words ...


The thought and model of linguistic regression

J. Watada Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2001

Generally it is important for human experts to express their ideas and thoughts. Human words are basically employed in these expressions. So we employ fuzzy regression analysis to handle human words and find the latent structures under these human words and build a linguistic regression model


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Educational Resources on Regression analysis

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eLearning

The Relationship Between Summer Weather and Summer Loads - A Regression Analysis

G. T. Heinemann; D. A. Nordmian; E. C. Plant IEEE Transactions on Power Apparatus and Systems, 1966

When summer air conditioning contributes significantly to an electric utility's system peak load, it is useful, for load forecasting purposes, to separate total system load into two components: temperature-sensitive load and nontemperature-sensitive load. Examination of historical data indicates that temperature-sensitive loads depend not only upon coincident but also antecedent weather conditions. Regression analysis techniques using a digital computer have shown ...


Chronic effects of epicardial patch electrodes on transthoracic defibrillation

W. C. McDaniel; E. R. Pope; J. T. Walls; Qin Zhang; M. D. Sullivan; M. C. Hogan; Xiao-Feng Yang; J. J. Curtis Proceedings of 17th International Conference of the Engineering in Medicine and Biology Society, 1995

Patients occasionally have epicardial patch electrodes implanted without a functional generator, and may need to be defibrillated transthoracically. Studies in acute animal models indicate these patches adversely effect the ability to defibrillate externally, on the day of surgery. However a study of patients 3 weeks after implant surgery, failed to demonstrate this adverse effect. Here a chronic animal model is ...


Evaluation of The Quality of life outcomes of Women and Man with coronary artery disease using fuzzy regression analyses

S. Eini; Z. Zeybek; M. M. Ozkan; F. Ahmedi 2008 IEEE International Conference on Computational Cybernetics, 2008

Regression is one of the efficient tools that are used in statistics. Obviously, when we want to explain the an accuracy between statistic variables caused by fuzzy quantities instead of probable structure, we should create other tools that enable us to estimate uncertain parameters under condition of new structure. Fuzzy linear regression is a method for estimation of fuzzy parameters ...


Research on videophones' form based on kansei engineering

Fu Guo; Lihuan Mu; Tian Tian; Wenqiang Lin; Yong Zhang 2009 16th International Conference on Industrial Engineering and Engineering Management, 2009

Taking the videophone for example, this study developed a process and method of product form perception based on customer preferences. This study proposed the process of product form perception evaluation scale which includes 17 appraisal words and 10 representative pictures by questionnaires, multidimensional scaling, and cluster analysis method. Then it established the relationship model between consumer preference and image words ...


The thought and model of linguistic regression

J. Watada Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569), 2001

Generally it is important for human experts to express their ideas and thoughts. Human words are basically employed in these expressions. So we employ fuzzy regression analysis to handle human words and find the latent structures under these human words and build a linguistic regression model


More eLearning Resources

IEEE.tv Videos

Single Frame Super Resolution: Fuzzy Rule-Based and Gaussian Mixture Regression Approaches
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Spectrum Analysis: RF Boot Camp
Surgical Robotics: Analysis and Control Architecture for Semiautonomous Robotic Surgery
IMS 2012 Microapps - Generation and Analysis Techniques for Cost-efficient SATCOM Measurements Richard Overdorf, Agilent
Micro-Apps 2013: Power Added Efficiency (PAE) Analysis with 8990B Peak Power Analyzer
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IEEE-USA E-Books

  • Other Classification Algorithms

    This chapter contains sections titled: Bayesian Classifiers Estimating Probability Distributions Multivariate Regression Analysis Unsupervised Learning Summary

  • Probabilistic Systems

    This chapter contains sections titled: Introduction Bayesian Approaches Parameter Estimation Discriminant Analysis Statistical Pattern Classification Unsupervised Learning Regression Analysis Biomedical Applications Summary This chapter contains sections titled: Exercises References

  • Evolutionary Learning and Problem Solving

    This chapter explores many specific applications of evolutionary algorithms for problem solving. The covered applications are aimed generally at assisting us to make more intelligent decisions by providing a better understanding of the world around us. The chapter starts with the basics of regression analysis and identified that evolutionary optimization can be applied not only to adjust parameters of a regression model but also to do so in light of criteria that are not related to the mean squared error. This served as a foundation for extending evolutionary modeling to time series prediction in which the model coefficients and structure can be varied simultaneously and evaluated in light of information criteria. There are voluminous examples of applying evolutionary optimization to adjust the weights and/or topology of neural networks. One example described in the chapter treats the problem of controlling a cart-pole system comprising multiple poles.

  • CVaR Minimizations in Support Vector Machines

    This chapter overview the connections between support vector machines (SVM) and conditional value at risk (CVaR) minimization and suggests further interactions beyond their similarity in appearance. It introduces several SVM formulations, whose relation to CVaR minimization. The chapter further discusses robust extensions of the CVaR formulation. It presents the dual problems of the CVaR-minimizing formulations, and shows that two kinds of robust modeling of the CVaR minimization for binary classification are tractable. Dual representations expand the range of algorithms and enrich the theory of SVM. SVMs are one of the most successful supervised learning methods that can be applied to classification or regression. The maximum margin hyperplane of hard-margin SVM classification (SVC) minimizes an upper bound of the generalization error. The support vector regression (SVR) method performs well in regression analysis and is a popular data analysis tool in machine learning and signal processing.

  • Process Modeling

    Data derived from designed experiments can be used to construct process models of various types that enable the analysis and prediction of manufacturing process behavior. Process modeling permits an engineer to manipulate and optimize the process efficiency with a minimum amount of experimentation. A well-developed process model can be used to generate a recipe of the process deposition conditions to obtain particular desired responses. This chapter explores various process modeling methodologies, from traditional regression analysis to more contemporary AI-based approaches for deriving predictive models in semiconductor manufacturing applications. We then explore various optimization (or recipe synthesis) procedures.

  • Pattern Classification and Diagnostic Decision

    This chapter contains sections titled: Problem Statement Illustration of the Problem with Case-studies Pattern Classification Supervised Pattern Classification Unsupervised Pattern Classification Probabilistic Models and Statistical Decision Logistic Regression Analysis The Training and Test Steps Neural Networks Measures of Diagnostic Accuracy and Cost Reliability of Classifiers and Decisions Application: Normal versus Ectopic ECG Beats Application: Detection of Knee-joint Cartilage Pathology Remarks Study Questions and Problems Laboratory Exercises and Projects



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