Academic literature on the topic 'Conjoined data'
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Journal articles on the topic "Conjoined data"
DiLalla, David L. "Conjoined Twins: Metaphor or Data?" Contemporary Psychology: A Journal of Reviews 35, no. 4 (April 1990): 332–33. http://dx.doi.org/10.1037/028451.
Full textHiscock, Peter. "The conjoin sequence diagram: a method of describing conjoin sets." Queensland Archaeological Research 3 (January 1, 1986): 159–66. http://dx.doi.org/10.25120/qar.3.1986.186.
Full textChen, Hsin-I., Tse-Ju Lin, Xiao-Feng Jian, I.-Chao Shen, and Bing-Yu Chen. "Data-driven Handwriting Synthesis in a Conjoined Manner." Computer Graphics Forum 34, no. 7 (October 2015): 235–44. http://dx.doi.org/10.1111/cgf.12762.
Full textImaizumi, Yoko. "Conjoined Twins in Japan, 1979-1985." Acta geneticae medicae et gemellologiae: twin research 37, no. 3-4 (October 1988): 339–45. http://dx.doi.org/10.1017/s0001566000003937.
Full textPierrot, Hans, and Tim Hendtlass. "Using a modified counter-propagation algorithm to classify conjoined data." Applied Intelligence 24, no. 3 (June 2006): 241–51. http://dx.doi.org/10.1007/s10489-006-8515-6.
Full textAlokaili, Riyadh Nasser, Muhammad Ejaz Ahmed, Ahmed Al Feryan, James T. Goodrich, and Ahmed Aloraidi. "Neurointerventional participation in craniopagus separation." Interventional Neuroradiology 21, no. 4 (June 10, 2015): 552–57. http://dx.doi.org/10.1177/1591019915590313.
Full textLuna, Dolores, and Pedro R. Montoro. "Interactions between Intrinsic Principles of Similarity and Proximity and Extrinsic Principle of Common Region in Visual Perception." Perception 40, no. 12 (January 1, 2011): 1467–77. http://dx.doi.org/10.1068/p7086.
Full textTomar, Rachana, Pankaj Sharma, Ankit Srivastava, Saurabh Bansal, Ashish, and Bishwajit Kundu. "Structural and functional insights into an archaealL-asparaginase obtained through the linker-less assembly of constituent domains." Acta Crystallographica Section D Biological Crystallography 70, no. 12 (November 22, 2014): 3187–97. http://dx.doi.org/10.1107/s1399004714023414.
Full textDenardin, Daniela, Jorge Alberto B. Telles, Rosilene da Silveira Betat, Paulo Renato K. Fell, André Campos da Cunha, Luciano Vieira Targa, Paulo Ricardo G. Zen, and Rafael Fabiano M. Rosa. "Imperfect twinning: a clinical and ethical dilemma." Revista Paulista de Pediatria 31, no. 3 (September 2013): 384–91. http://dx.doi.org/10.1590/s0103-05822013000300017.
Full textSegal, Nancy L. "Double Vision: Eye Findings in Twins Reared Apart/Twin Research: Perinatology and Conjoined Twins; Thoracopagus Twin Cattle; MZ Twins Discordant for Musical Training/In the News: College Benefits for Twin Parents; Octomom Revisited; Genetic Editing of Infant Twins; Quarternary Marriages; Unusual Twin Pregnancy." Twin Research and Human Genetics 22, no. 2 (April 2019): 124–27. http://dx.doi.org/10.1017/thg.2019.5.
Full textDissertations / Theses on the topic "Conjoined data"
Pierrot, Henri Jan, and n/a. "Artificial intelligence architectures for classifying conjoined data." Swinburne University of Technology, 2007. http://adt.lib.swin.edu.au./public/adt-VSWT20070426.102059.
Full textPierrot, Henri Jan. "Artificial intelligence architectures for classifying conjoined data." Australasian Digital Thesis Program, 2007. http://adt.lib.swin.edu.au/public/adt-VSWT20070426.102059/index.html.
Full textSubmitted in partial fulfilment of the requirements for the degree of Master of Science (IT), [Information and Communication Technology], Swinburne University of Technology - 2007. Typescript. Includes bibliographical references.
Yuan, Yuan. "Bayesian Conjoint Analyses with Multi-Category Consumer Panel Data." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin162766827512258.
Full textWong, Shing-tat. "Disaggregate analyses of stated preference data for capturing parking choice behavior." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B36393678.
Full textNatter, Martin, and Markus Feurstein. "Correcting for CBC model bias. A hybrid scanner data - conjoint model." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2001. http://epub.wu.ac.at/880/1/document.pdf.
Full textSeries: Report Series SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
Wong, Shing-tat, and 黃承達. "Disaggregate analyses of stated preference data for capturing parking choice behavior." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B36393678.
Full textGoudia, Dalila. "Tatouage conjoint a la compression d'images fixes dans JPEG2000." Thesis, Montpellier 2, 2011. http://www.theses.fr/2011MON20198.
Full textTechnological advances in the fields of telecommunications and multimedia during the two last decades, derive to create novel image processing services such as copyright protection, data enrichment and information hiding applications. There is a strong need of low complexity applications to perform seveval image processing services within a single system. In this context, the design of joint systems have attracted researchers during the last past years. Data hiding techniques embed an invisible message within a multimedia content by modifying the media data. This process is done in such a way that the hidden data is not perceptible to an observer. Digital watermarking is one type of data hiding. The watermark should be resistant to a variety of manipulations called attacks. The purpose of image compression is to represent images with less data in order to save storage costs or transmission time. Compression is generally unavoidable for transmission or storage purposes and is considered as one of the most destructive attacks by the data hiding. JPEG2000 is the last ISO/ ITU-T standard for still image compression.In this thesis, joint compression and data hiding is investigated in the JPEG2000 framework. Instead of treating data hiding and compression separately, it is interesting and beneficial to look at the joint design of data hiding and compression system. The joint approach have many advantages. The most important thing is that compression is no longer considered as an attack by data hiding.The main constraints that must be considered are trade offs between payload, compression bitrate, distortion induced by the insertion of the hidden data or the watermark and robustness of watermarked images in the watermarking context. We have proposed several joint JPEG2000 compression and data hiding schemes. Two of these joint schemes are watermarking systems. All the embedding strategies proposed in this work are based on Trellis Coded Quantization (TCQ). We exploit the channel coding properties of TCQ to reliably embed data during the quantization stage of the JPEG2000 part 2 codec
Kim, Hyowon. "Improving Inferences about Preferences in Choice Modeling." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1587524882296023.
Full textFournier, Marie-Cecile. "Pronostic dynamique de l'évolution de l'état de santé de patients atteints d'une maladie chronique." Thesis, Nantes, 2016. http://www.theses.fr/2016NANT1004/document.
Full textFor many chronic diseases, the monitoring of patients can be improved by a better understanding of disease growth and the ability to predict the occurrence of major events. Health status evolution can be measured by repeated measurements of a longitudinal marker, as serumcreatinine in renal transplantation.This thesis work in epidemiology and biostatistics applied to renal transplantation focuses on jointmodels for longitudinal and time-to-event data.These models have various benefits but their use is still uncommon in practice. In a first part, we use this methodology to identify the specific role of risk factors on serum creatinine evolution and/or graftfailure risk. We give a rich epidemiological overview and highlights some features which deserve additional attention as they seemassociated with graft failure risk without previousmodification of the longitudinal marker, the serumcreatinine. In a second part, we focus on dynamic predictions, which can be estimated from a jointmodel. They are called dynamic because of an update performed at each new measurement of the longitudinal marker. The clinical usefulness of this type of predictions has to be evaluated and should be based on good accuracy in terms of discrimination and calibration. To assess the prognostic capacities, the Brier Score or the ROCcurve have already been developed. To complete them, we propose an R² type indicator in order to complement some limitations of previous tools
Ferrer, Loic. "Modélisation et prédiction conjointe de différents risques de progression de cancer à partir des mesures répétées de biomarqueurs." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0875/document.
Full textIn longitudinal studies in cancer, a major problem is the description of the patient’s disease evolution or the prediction of his future state, based on repeated measurements of a biological marker. Joint modelling enables to meet these objectives but it has mainlybeen developed for the simultaneous study of a Gaussian longitudinal marker and a single event time. In order to characterize the transitions between successive events that a patient may experience, we extend the classical methodology by introducing a joint model for a Gaussian longitudinal process and a non-homogeneous Markovian multi-state process. The model assumes that individual transition times are independent conditionally to included covariates. We also propose a score test to assess this assumption. These developments are applied on two cohorts of men with localized prostate cancer treated with radiotherapy. The model quantifies the impact of prostate specific antigen dynamics, and other prognostic factors measured at the end of treatment, on each transition intensity between predefined clinical states. This thesis then provides statistical tools and guidelines for the computation of individual dynamic predictions of clinical events in the context of competitive risks. Finally, a last work leads to a reflection on joint modelling of longitudinal ordinal data and survival data with an innovative inference technique. To conclude, this work introduces statistical methods adapted to various types of longitudinal data and event history data, which meet the needs of clinicians. Methodological recommendations and software tools are associated with each development, for practical use by the clinical and statistical communities
Books on the topic "Conjoined data"
Abigaëlle et le date coaching. Montréal (Québec): Libre expression, 2015.
Find full textLaval), Congrès conjoint Carto-Québec/A C. C. (1987 Université. Actes du Congrès conjoint Carto-Québec/A.C.C.: Université Laval, Sainte-Foy, Québec, 6 au 8 mai 1987 = Proceedings of Carto-Québec/C.C.A. Meeting : Laval University, Sainte-Foy, Québec, May 6th to May 8th, 1987. [Ottawa]: Canadian Cartographic Association, 1987.
Find full textUnited Nations Environment Programme. Mediterranean Action Plan. Priority Actions Programme., ed. Base de données du Plan bleu: Réunion conjointe des points focaux du Plan Bleu et du Programme d'action prioritaires, Athènes, 28-30 avril 1986 = Blue Plan data base : joint meeting of national focal points for the Blue Plan and the Priority Actions Programme, Athens, 28-30 April 1986. 2nd ed. [Geneva?]: Programme des Nations Unies pour l'environnement, 1986.
Find full textViolence in dating relationships: Emerging social issues. Westport, Conn: Praeger, 1989.
Find full text(Editor), Maureen Pirog-Good, and Jan E. Stets (Editor), eds. Violence in Dating Relationships: Emerging Social Issues. Praeger Paperback, 1989.
Find full text(Editor), Maureen Pirog-Good, and Jan E. Stets (Editor), eds. Violence in Dating Relationships: Emerging Social Issues. Praeger Publishers, 1989.
Find full textA, Pirog Maureen, and Stets Jan E, eds. Violence in dating relationships: Emerging social issues. New York: Praeger, 1989.
Find full textBook chapters on the topic "Conjoined data"
Baier, Daniel, and Wolfgang Gaul. "Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data." In Conjoint Measurement, 123–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24713-5_5.
Full textBaier, Daniel, and Wolfgang Gaul. "Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data." In Conjoint Measurement, 47–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71404-0_3.
Full textBaier, Daniel, and Wolfgang Gaul. "Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data." In Conjoint Measurement, 97–120. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-06392-7_4.
Full textBaier, Daniel, and Wolfgang Gaul. "Market Simulation Using a Probabilistic Ideal Vector Model for Conjoint Data." In Conjoint Measurement, 97–120. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-06395-8_4.
Full textRao, Vithala R. "Analysis and Utilization of Conjoint Data (Ratings Based Methods)." In Applied Conjoint Analysis, 79–126. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-540-87753-0_3.
Full textKnoblauch, Kenneth, and Laurence T. Maloney. "Maximum Likelihood Conjoint Measurement." In Modeling Psychophysical Data in R, 229–56. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4475-6_8.
Full textBaier, D., and W. Gaul. "Classification and Representation Using Conjoint Data." In From Data to Knowledge, 298–307. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-79999-0_30.
Full textFraser, Cynthia. "Conjoint Analysis and Experimental Data." In Business Statistics for Competitive Advantage with Excel 2019 and JMP, 379–414. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20374-0_14.
Full textBrusch, Michael, and Daniel Baier. "Multimedia Stimulus Presentation Methods for Conjoint Studies in Marketing Research." In Between Data Science and Applied Data Analysis, 530–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-18991-3_60.
Full textGiordano, Giuseppe, Carlo Natale Lauro, and Germana Scepi. "Factorial Conjoint Analysis Based Methodologies." In Classification and Multivariate Analysis for Complex Data Structures, 17–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13312-1_2.
Full textConference papers on the topic "Conjoined data"
Wang, Xiao-cong, Da-wei Ge, Wei Ding, Ying-ying Wang, Shou-fei Gao, Xin Zhang, Yi-zhi Sun, et al. "Ultralow Loss Hollow-Core Conjoined-Tube Negative-Curvature Fiber for Data Transmission." In Optical Fiber Communication Conference. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/ofc.2019.m3c.6.
Full textPan, Qi H., Fedja Hadzic, and Tharam S. Dillon. "Conjoint Data Mining of Structured and Semi-structured Data." In 2008 Fourth International Conference on Semantics, Knowledge and Grid (SKG). IEEE, 2008. http://dx.doi.org/10.1109/skg.2008.57.
Full textRazu, Swithin S., and Shun Takai. "An Approach to Modeling Customer Preference Uncertainty by Applying Bootstrap to Choice-Based Conjoint Analysis Data." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28231.
Full textRazu, Swithin S., and Shun Takai. "Reliability and Accuracy of Bootstrap and Monte Carlo Methods for Demand Distribution Modeling." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47496.
Full textSylcott, Brian, Jeremy J. Michalek, and Jonathan Cagan. "Towards Understanding the Role of Interaction Effects in Visual Conjoint Analysis." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12622.
Full textSylcott, Brian, Seth Orsborn, and Jonathan Cagan. "The Effect of Product Representation in Visual Conjoint Analysis." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34443.
Full textGhotbi, Sina, Michael J. Scott, and Joseph A. Donndelinger. "Assessing Fusibility in Enrichment Methods for Disparate Customer Data Sets." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87751.
Full textSullivan, Eric, Scott Ferguson, and Joseph Donndelinger. "Exploring Differences in Preference Heterogeneity Representation and Their Influence in Product Family Design." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48596.
Full textPeitek, Norman, Janet Siegmund, Chris Parnin, Sven Apel, and André Brechmann. "Toward conjoint analysis of simultaneous eye-tracking and fMRI data for program-comprehension studies." In the Workshop. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3216723.3216725.
Full textSofian, Siti Siryani, and Azmin Sham Rambely. "Evaluation of students’ perceptions on game based learning program using fuzzy set conjoint analysis." In THE 4TH INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES: Mathematical Sciences: Championing the Way in a Problem Based and Data Driven Society. Author(s), 2017. http://dx.doi.org/10.1063/1.4980941.
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