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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2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2017 10th International Symposium on Computational Intelligence and Design (ISCID)

Computational Intelligence techniques typically include Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems and other similar computational models. The application of computational intelligence techniques into industrial design, interactive design, media design, and engineering design are also within the scope.

  • 2016 9th International Symposium on Computational Intelligence and Design (ISCID)

    Computational Intelligence techniques typically include Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems and other similar computational models.

  • 2015 8th International Symposium on Computational Intelligence and Design (ISCID)

    Computational Intelligence techniques typically include Fuzzy Logic, Evolutionary Computation,Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems andother similar computational models.

  • 2014 7th International Symposium on Computational Intelligence and Design (ISCID)

    Computational Intelligence techniques typically include Fuzzy Logic, Evolutionary Computation,Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems andother similar computational models.

  • 2013 6th International Symposium on Computational Intelligence and Design (ISCID)

    Computational Intelligence techniques typically include Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems and other similar computational models.

  • 2012 5th International Symposium on Computational Intelligence and Design (ISCID)

    Computational Intelligence techniques typically include Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems and other similar computational models.

  • 2011 4th International Symposium on Computational Intelligence and Design (ISCID)

    Computational Intelligence techniques typically include Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems and other similar computational models. Computational Intelligence constitutes an umbrella of techniques, has proven to be flexible in decision making in dynamic environment.

  • 2010 3rd International Symposium on Computational Intelligence and Design (ISCID)

    ISCID 2010 will be held at Hangzhou, China in 29-31, October 2010. It provides researchers and practitioners interested in new information technologies an opportunity to highlight innovative research directions, novel applications, and a growing number of relationships between rough sets and such are as computational intelligence, knowledge discovery and design.

  • 2009 2nd International Symposium on Computational Intelligence and Design (ISCID)

    This symposium provide researchers and practitioners interested in new information technologies an opportunity to highlight innovative research directions, novel applications, and a growing number of relationships between rough sets and such areas as computational intelligence, knowledge discovery and data mining, non-conventional models of computation and design.

  • 2008 International Symposium on Computational Intelligence and Design (ISCID)

    computational intelligence, knowledge discovery and data mining, intelligent information systems, web mining, synthesis and analysis of complex objects , non-conventional models of computation and Industrial Design.


2017 11th European Conference on Antennas and Propagation (EUCAP)

The conference addresses all scientific and application topics in the area of electromagnetic antennas and radio propagation whatever the frequency.


2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

It covers practice, experience and promising new ideas in the broad area of intelligent systems and knowledge engineering. The topics include: Foundations of Intelligent Systems; Knowledge Engineering and Management; Practical Applications and Systems.


2017 14th International Conference on Service Systems and Service Management (ICSSSM)

The scope of the conference includes topics on: Theory and Principle of Service Sciences;Service System Design, Operations, and Management, Supply Chain Management for Service, Service Marketing and Financial Management, Specific Industrial Service Management, Service Information Technology and Decision Making, Service Experiential Studies and Case Studies.


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Periodicals related to Regression analysis

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


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Xplore Articles related to Regression analysis

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Learning triadic influence in large social networks

Chenhui Zhang; Sida Gao; Jie Tang; Tracy Xiao Liu; Zhanpeng Fang; Xu Cheng 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016

Social influence has been a widely accepted phenomenon in social networks for decades. In this paper, we study influence from the perspective of structure, and focus on the simplest group structure - triad. We analyze two different genres of behavior: Retweeting on Weibo and Paying on CrossFire. We have several intriguing observations from these two networks. First, different internal structures ...


Notice of Retraction<BR>The Relationship between Athletic Achievement Motivation, Coping Strategies and Pre-Competition Emotions of Athletes of Aerobics

Lihong Xie; Xiaowang Yin 2011 Third Pacific-Asia Conference on Circuits, Communications and System (PACCS), 2011

Notice of Retraction After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. The presenting author of this paper ...


Electrolyte temperature based control method for aluminum fluoride addition in Hall-H&#x00E9;roult cell

Huang Yongbo; Zhou Jiemin; Qu Xiangdong; Sun Zhiqiang 2008 27th Chinese Control Conference, 2008

Addition of aluminum fluoride is an important parameter adopted to control electrolyte temperatures in Hall-Heroult cells. However, determination of the optimal addition is still a difficult issue. This paper puts forward a new control method to select the present-day aluminum fluoride addition optimally based on the yesterday electrolyte temperature. Experiments were carried out on two industrial cells with the same ...


Software development cost estimation using function points

J. E. Matson; B. E. Barrett; J. M. Mellichamp IEEE Transactions on Software Engineering, 1994

This paper presents an assessment of several published statistical regression models that relate software development effort to software size measured in function points. The principal concern with published models has to do with the number of observations upon which the models were based and inattention to the assumptions inherent in regression analysis. The research describes appropriate statistical procedures in the ...


Statistical Test of Energy Saving Due to Voltage Reduction

Daniel Kirshner; Paul Giorsetto IEEE Transactions on Power Apparatus and Systems, 1984

A number of utilities have conducted field tests of the effect of distribution voltage reductions on energy consumption. The tests have been interpreted as giving mixed results. This paper reviews eight tests and statistically analyzes the results. These tests consistently support significant energy savings as a result of voltage reduction. Percent energy savings for each 1% reduction in voltage average ...


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Educational Resources on Regression analysis

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eLearning

Learning triadic influence in large social networks

Chenhui Zhang; Sida Gao; Jie Tang; Tracy Xiao Liu; Zhanpeng Fang; Xu Cheng 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016

Social influence has been a widely accepted phenomenon in social networks for decades. In this paper, we study influence from the perspective of structure, and focus on the simplest group structure - triad. We analyze two different genres of behavior: Retweeting on Weibo and Paying on CrossFire. We have several intriguing observations from these two networks. First, different internal structures ...


Notice of Retraction<BR>The Relationship between Athletic Achievement Motivation, Coping Strategies and Pre-Competition Emotions of Athletes of Aerobics

Lihong Xie; Xiaowang Yin 2011 Third Pacific-Asia Conference on Circuits, Communications and System (PACCS), 2011

Notice of Retraction After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. The presenting author of this paper ...


Electrolyte temperature based control method for aluminum fluoride addition in Hall-H&#x00E9;roult cell

Huang Yongbo; Zhou Jiemin; Qu Xiangdong; Sun Zhiqiang 2008 27th Chinese Control Conference, 2008

Addition of aluminum fluoride is an important parameter adopted to control electrolyte temperatures in Hall-Heroult cells. However, determination of the optimal addition is still a difficult issue. This paper puts forward a new control method to select the present-day aluminum fluoride addition optimally based on the yesterday electrolyte temperature. Experiments were carried out on two industrial cells with the same ...


Software development cost estimation using function points

J. E. Matson; B. E. Barrett; J. M. Mellichamp IEEE Transactions on Software Engineering, 1994

This paper presents an assessment of several published statistical regression models that relate software development effort to software size measured in function points. The principal concern with published models has to do with the number of observations upon which the models were based and inattention to the assumptions inherent in regression analysis. The research describes appropriate statistical procedures in the ...


Statistical Test of Energy Saving Due to Voltage Reduction

Daniel Kirshner; Paul Giorsetto IEEE Transactions on Power Apparatus and Systems, 1984

A number of utilities have conducted field tests of the effect of distribution voltage reductions on energy consumption. The tests have been interpreted as giving mixed results. This paper reviews eight tests and statistically analyzes the results. These tests consistently support significant energy savings as a result of voltage reduction. Percent energy savings for each 1% reduction in voltage average ...


More eLearning Resources

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IEEE-USA E-Books

  • 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

  • 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.

  • 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

  • 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.

  • Other Classification Algorithms

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



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