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 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

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


2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize state­of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.


2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

International Geosicence and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society. The topics of IGARSS cover a wide variety of the research on the theory, techniques, and applications of remote sensing in geoscience, which includes: the fundamentals of the interactions electromagnetic waves with environment and target to be observed; the techniques and implementation of remote sensing for imaging and sounding; the analysis, processing and information technology of remote sensing data; the applications of remote sensing in different aspects of earth science; the missions and projects of earth observation satellites and airborne and ground based campaigns. The theme of IGARSS 2019 is “Enviroment and Disasters”, and some emphases will be given on related special topics.


2019 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


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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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Xplore Articles related to Regression analysis

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An laboratory experiment for comparing effectiveness of three types of online recommendations

[{u'author_order': 1, u'affiliation': u"School of Management, Xi'an Jiaotong University, Xi'an 710049, China", u'full_name': u'Lin Shi'}, {u'author_order': 2, u'affiliation': u"School of Management, Xi'an Jiaotong University, Xi'an 710049, China", u'full_name': u'Kanliang Wang'}] Tsinghua Science and Technology, 2008

The widespread use of Internet accelerates the rapid development of business to customer electronic commerce. To reduce information overload and help their customers to make better purchase decisions, e-commerce websites are beginning to use online recommendations. This paper compares the effectiveness of three types of online recommendations, the personalized recommendation, best sellers, and consumers' reviews, which are widely used in ...


Application of Artificial Immune System in Constructing a Financial Early Warning System: An Example of Taiwanese Banking Industry

[{u'author_order': 1, u'authorUrl': u'https://ieeexplore.ieee.org/author/37587803100', u'full_name': u'Jih-Chang Hsieh', u'id': 37587803100}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37632339600', u'full_name': u'Shih-Hsin Chen', u'id': 37632339600}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37573663000', u'full_name': u'Pei-Chann Chang', u'id': 37573663000}] Second International Conference on Innovative Computing, Informatio and Control (ICICIC 2007), 2007

In recent decades, soft computing techniques have broadly applied to solve complex problems. Among the soft computing techniques, artificial immune system (AIS) have appeared as a new approach dealing with classification problems. In this paper, an AIS algorithm is developed and applied to a two- group classification problem. An example of Taiwanese banking industry is discussed and the financial ratios ...


A Study on the Switching Pattern and Donors' Loyalty for Charitable Behavior in Hong Kong

[{u'author_order': 1, u'full_name': u'Jennifer Chui Yiu Ng'}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37292495700', u'full_name': u'Kin Keung Lai', u'id': 37292495700}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37085383944', u'full_name': u'Yan Pui Lee', u'id': 37085383944}] 2013 Sixth International Conference on Business Intelligence and Financial Engineering, 2013

Researches on giving, charity switching behaviour and donors' loyalty can easily be found in a half dozen American states or regions. However, there is still a gap between non-western countries on similar researches in terms of scope and depth. With such deficiency, this study attempts to make use of the case in Hong Kong in order to fill the research ...


Multivariate analysis of student performance in large engineering economy classes

[{u'author_order': 1, u'affiliation': u'Dept. of Ind. & Syst. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37345237500', u'full_name': u'W.G. Sullivan', u'id': 37345237500}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37857936200', u'full_name': u'S.F. Daghestani', u'id': 37857936200}, {u'author_order': 3, u'authorUrl': u'https://ieeexplore.ieee.org/author/37589475200', u'full_name': u'H.R. Parsaei', u'id': 37589475200}] Technology-Based Re-Engineering Engineering Education Proceedings of Frontiers in Education FIE'96 26th Annual Conference, 1996

Based on multivariate data collected over three years, linear regression equations are developed and used to assess student learning in large sections of engineering economy taught at Virginia Tech. In each year (1993, 1994 and 1995), more than 350 students in the fall semester voluntarily participated in this research. This paper presents the principal findings of the study and demonstrates ...


Analyzing the I-V characteristics of thin gate oxides using multiple regression

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng., Univ. of South Florida, Tampa, FL, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/38153658400', u'full_name': u'E.O. Sheybani', u'id': 38153658400}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. Eng., Univ. of South Florida, Tampa, FL, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/38155968500', u'full_name': u'Y.L. Chiou', u'id': 38155968500}] Conference Record Southcon, 1994

The I-V characteristics of metal oxide semiconductors has long been a subject of research by many scientists in the field of microelectronics. It is generally accepted that the current conduction in the thin gate oxide is due to the Fowler-Nordheim tunneling emission. However, there is quite a variation in the electrical properties and the Fowler-Nordheim tunneling parameters reported by researchers. ...


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Educational Resources on Regression analysis

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IEEE.tv Videos

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MicroApps: New Technologies and Techniques for Wideband Analysis (Agilent Technologies)

IEEE-USA E-Books

  • Chapter 8 Distraction and Inattention: Top Crash Causes in the USA

    Two major studies of motor vehicle crash causes were conducted in 2001–7 in the USA. One focused on large trucks and the other on passenger vehicles. In both studies the drivers were assigned the critical reasons for the crashes in about 90 per cent of the cases. Relative risk analyses of the data found that driver distraction/inattention was the second most dangerous driver error for both large trucks and passenger vehicles – following travelling too fast for conditions for large trucks and inadequate surveillance for passenger vehicles. Logistic regression analysis found distraction/inattention were significant problems, and that conversation, hours driving, fatigue and work pressure are factors that lead to distraction and inattention.

  • 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.



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