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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2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

Management of information and communication technology focusing on research, development, integration, standards, service provisioning, and user communities.


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


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 Chinese Control And Decision Conference (CCDC)

Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2017 29th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2016 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2015 27th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2014 26th Chinese Control And Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create aforum for scientists, engineers and practitioners throughout the world to present the latestadvancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2013 25th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2012 24th Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2011 23rd Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2010 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies

  • 2009 Chinese Control and Decision Conference (CCDC)

    Chinese Control and Decision Conference is an annual international conference to create a forum for scientists, engineers and practitioners throughout the world to present the latest advancement in Control, Decision, Automation, Robotics and Emerging Technologies.

  • 2008 Chinese Control and Decision Conference (CCDC)


2018 European Conference on Antennas and Propagation (EuCAP)

Antennas & related topics e.g. theoretical methods, systems, wideband, multiband, UWBPropagation & related topics e.g. modelling/simulation, HF, body-area, urbanAntenna & RCS measurement techniques


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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; ...


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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-- ...


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Most published Xplore authors for Regression analysis

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Xplore Articles related to Regression analysis

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Research on the Influence of Female Employees' Gender Role on Their Job Performance

[{u'author_order': 1, u'affiliation': u"Bus. Sch., Xi'an Univ. of Finance & Econ., Xi'an, China", u'full_name': u'Wang Fang'}] 2011 International Conference on Management and Service Science, None

SPSS software is used to analyze the statistical results of the investigation on the gender role and job performance of 485 female employees across the country. This paper discussed the distribution of the female gender role and finds out the significant differences in job performance between different gender roles and finds out that the level of masculinity is positively related ...


Analysis on the influence of supervisory role on staffs' organizational citizenship behaviors in service enterprises

[{u'author_order': 1, u'affiliation': u'Shandong university of Finance, Jinan, P.R. China', u'full_name': u'Yu Wei'}, {u'author_order': 2, u'affiliation': u'Shandong university of Finance, Jinan, P.R. China', u'full_name': u'Zhang Yani'}] 2010 2nd IEEE International Conference on Information and Financial Engineering, None

Research on service enterprises find that supervisory play an important role in staffs' behaviors. Among them, the role of employee champion, strategic partner and change agent all can lead to staff show positive behaviors, but the role of administrative expert can not affect staff positively. LMX not only can affect staffs' behavior directly, but also modulate the role of supervisory. ...


The research on the deformation of tool path of flexible workpiece based on prediction model

[{u'author_order': 1, u'affiliation': u'School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China', u'full_name': u'Deng Yao-hua'}, {u'author_order': 2, u'affiliation': u'School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou, China', u'full_name': u'Liu Gui-xiong'}, {u'author_order': 3, u'affiliation': u'School of Information Engineering, Guangdong University of Technology, China', u'full_name': u'Wu Li-ming'}, {u'author_order': 4, u'affiliation': u'School of Information Engineering, Guangdong University of Technology, China', u'full_name': u'Tang Lu-xin'}, {u'author_order': 5, u'affiliation': u'School of Information Engineering, Guangdong University of Technology, China', u'full_name': u'Zhang Qiao-fen'}] 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), None

The relationship between force and deformation in machining was studied, taking the flexible interlayer as object. Firstly, the factors influencing the deformation in machining the flexible materials and the uncertainty of deformation were analyzed, then the force analysis of the flexible materials in machining, and the simplified linear elastic mechanical structure model of the flexible interlayer was established, the thought ...


Performance Study of Reorganization of the ST Company's Assets

[{u'author_order': 1, u'affiliation': u'Shandong Jiaotong Univ., Jinan, China', u'full_name': u'Ming Can Sun'}, {u'author_order': 2, u'affiliation': u'Dept. of Econ., Shandong Jiaotong Univ., Jinan, China', u'full_name': u'Xiao Jing Li'}] 2010 Second International Conference on Computer and Network Technology, None

The assets reorganization of ST companies' has an important meaning on companies' performance. This article calculates the financial indicators and finds out the problems in assets reorganization, then proposes corresponding settlement to solve these problems.


Notice of Retraction<BR>Relationship between self consistency and congruence and social avoidance and distress of junior middle school students

[{u'author_order': 1, u'affiliation': u'School of psychology, Jiangxi Normal University, Nanchang, China', u'full_name': u'Jinhui Ye'}, {u'author_order': 2, u'affiliation': u'Department of student-working, Jiangxi Agricultural University, Nanchang, China', u'full_name': u'Qin Zou'}] 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), None

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 ...


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Educational Resources on Regression analysis

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eLearning

No eLearning Articles are currently tagged "Regression analysis"

IEEE.tv Videos

Single Frame Super Resolution: Fuzzy Rule-Based and Gaussian Mixture Regression Approaches
IMS 2011 Microapps - Yield Analysis During EM Simulation
IMS 2011 Microapps - A Practical Approach to Verifying RFICs with Fast Mismatch Analysis
IMS MicroApps: Multi-Rate Harmonic Balance Analysis
A Flexible Testbed for 5G Waveform Generation and Analysis: MicroApps 2015 - Keysight Technologies
IMS 2011 Microapps - Tools for Creating FET and MMIC Thermal Profiles
Zohara Cohen AMA EMBS Individualized Health
IMS 2012 Microapps - Improve Microwave Circuit Design Flow Through Passive Model Yield and Sensitivity Analysis
Spectrum Analysis: RF Boot Camp
IMS 2011 Microapps - Remcom's XFdtd and Wireless InSite: Advanced Tools for Advanced Communication Systems Analysis
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
Brooklyn 5G Summit 2014: Dr. Robert Heath on Coverage and Capacity Analysis of Dense Millimeter Wave Cellular System
IMS 2011 Microapps - STAN Tool: A New Method for Linear and Nonlinear Stability Analysis of Microwave Circuits
Network Analysis: RF Boot Camp
Learning through Deterministic Assignment of Hidden Parameter
Sparse Fuzzy Modeling - Nikhil R Pal - WCCI 2016
MicroApps: New Technologies and Techniques for Wideband Analysis (Agilent Technologies)
Receiver Design and Analysis: RF Boot Camp

IEEE-USA E-Books

  • Machine Learning: Diagnostics and Prognostics

    Prognostics and health management (PHM) has emerged as an essential approach for preventing catastrophic failure and increasing system availability by reducing downtime, extending maintenance cycles, executing time repair actions, and lowering life‐cycle costs. This chapter provides a basic understanding of data‐driven diagnostics and prognostics. It reviews recent advancements of diagnosis and prognosis techniques with a focus on their applications in practice. The chapter discusses research opportunities that can lead to further improvement of PHM in both theory and practice. Bagging, also known as bootstrap aggregating, is an ensemble learning method that uses a series of homogeneous or heterogeneous machine learning algorithms to improve classification performance. Adaptive boosting is the first practical boosting algorithm and aims to convert a set of weak classifiers into a strong one sequentially. Prognostic techniques can be categorized into two groups: regression analysis and particle filtering.

  • 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.

  • Other Classification Algorithms

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

  • 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

  • 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



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