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Dissertations / Theses on the topic 'Understanding of data models'

Author: Grafiati

Published: 17 July 2024

Last updated: 31 July 2025

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1

Sommeria-Klein, Guilhem. "From models to data : understanding biodiversity patterns from environmental DNA data." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30390/document.

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La distribution de l'abondance des espèces en un site, et la similarité de la composition taxonomique d'un site à l'autre, sont deux mesures de la biodiversité ayant servi de longue date de base empirique aux écologues pour tenter d'établir les règles générales gouvernant l'assemblage des communautés d'organismes. Pour ce type de mesures intégratives, le séquençage haut-débit d'ADN prélevé dans l'environnement (" ADN environnemental ") représente une alternative récente et prometteuse aux observations naturalistes traditionnelles. Cette approche présente l'avantage d'être rapide et standardisé

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2

Kivinen, Jyri Juhani. "Statistical models for natural scene data." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/8879.

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This thesis considers statistical modelling of natural image data. Obtaining advances in this field can have significant impact for both engineering applications, and for the understanding of the human visual system. Several recent advances in natural image modelling have been obtained with the use of unsupervised feature learning. We consider a class of such models, restricted Boltzmann machines (RBMs), used in many recent state-of-the-art image models. We develop extensions of these stochastic artificial neural networks, and use them as a basis for building more effective image models, and t

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3

Steinberg, Daniel. "An Unsupervised Approach to Modelling Visual Data." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/9415.

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For very large visual datasets, producing expert ground-truth data for training supervised algorithms can represent a substantial human effort. In these situations there is scope for the use of unsupervised approaches that can model collections of images and automatically summarise their content. The primary motivation for this thesis comes from the problem of labelling large visual datasets of the seafloor obtained by an Autonomous Underwater Vehicle (AUV) for ecological analysis. It is expensive to label this data, as taxonomical experts for the specific region are required, whereas automati

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Das, Debasish. "Bayesian Sparse Regression with Application to Data-driven Understanding of Climate." Diss., Temple University Libraries, 2015. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/313587.

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Computer and Information Science<br>Ph.D.<br>Sparse regressions based on constraining the L1-norm of the coefficients became popular due to their ability to handle high dimensional data unlike the regular regressions which suffer from overfitting and model identifiability issues especially when sample size is small. They are often the method of choice in many fields of science and engineering for simultaneously selecting covariates and fitting parsimonious linear models that are better generalizable and easily interpretable. However, significant challenges may be posed by the need to accommoda

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LaMar, Michelle Marie. "Models for understanding student thinking using data from complex computerized science tasks." Thesis, University of California, Berkeley, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3686374.

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<p> The Next Generation Science Standards (NGSS Lead States, 2013) define performance targets which will require assessment tasks that can integrate discipline knowledge and cross-cutting ideas with the practices of science. Complex computerized tasks will likely play a large role in assessing these standards, but many questions remain about how best to make use of such tasks within a psychometric framework (National Research Council, 2014). This dissertation explores the use of a more extensive cognitive modeling approach, driven by the extra information contained in action data collected wh

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6

Maloo, Akshay. "Dynamic Behavior Visualizer: A Dynamic Visual Analytics Framework for Understanding Complex Networked Models." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25296.

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Dynamic Behavior Visualizer (DBV) is a visual analytics environment to visualize the spatial and temporal movements and behavioral changes of an individual or a group, e.g. family within a realistic urban environment. DBV is specifically designed to visualize the adaptive behavioral changes, as they pertain to the interactions with multiple inter-dependent infrastructures, in the aftermath of a large crisis, e.g. hurricane or the detonation of an improvised nuclear device. DBV is web-enabled and thus is easily accessible to any user with access to a web browser. A novel aspect of the system is

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Izumi, Kenji. "Application of Paleoenvironmental Data for Testing Climate Models and Understanding Past and Future Climate Variations." Thesis, University of Oregon, 2014. http://hdl.handle.net/1794/18510.

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Paleo data-model comparison is the process of comparing output from model simulations of past periods with paleoenvironmental data. It enables us to understand both the paleoclimate mechanism and responses of the earth environment to the climate and to evaluate how models work. This dissertation has two parts that each involve the development and application of approaches for data-model comparisons. In part 1, which is focused on the understanding of both past and future climatic changes/variations, I compare paleoclimate and historical simulations with future climate projections exploiting th

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Lipecki, Johan, and Viggo Lundén. "The Effect of Data Quantity on Dialog System Input Classification Models." Thesis, KTH, Hälsoinformatik och logistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237282.

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This paper researches how different amounts of data affect different word vector models for classification of dialog system user input. A hypothesis is tested that there is a data threshold for dense vector models to reach the state-of-the-art performance that have been shown with recent research, and that character-level n-gram word-vector classifiers are especially suited for Swedish classifiers–because of compounding and the character-level n-gram model ability to vectorize out-of-vocabulary words. Also, a second hypothesis is put forward that models trained with single statements are more

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9

Abufouda, Mohammed [Verfasser], and Katharina [Akademischer Betreuer] Zweig. "Learning From Networked-data: Methods and Models for Understanding Online Social Networks Dynamics / Mohammed Abufouda ; Betreuer: Katharina Zweig." Kaiserslautern : Technische Universität Kaiserslautern, 2020. http://d-nb.info/1221599747/34.

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Wojatzki, Michael Maximilian [Verfasser], and Torsten [Akademischer Betreuer] Zesch. "Computer-assisted understanding of stance in social media : formalizations, data creation, and prediction models / Michael Maximilian Wojatzki ; Betreuer: Torsten Zesch." Duisburg, 2019. http://d-nb.info/1177681471/34.

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11

Lee, Xing Ju. "Statistical and simulation modelling for enhanced understanding of hospital pathogen and related health issues." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/103762/1/Xing%20Ju_Lee_Thesis.pdf.

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This thesis investigated the temporal occurrence and transmission of within hospital pathogens using appropriate statistical and simulation models applied to imperfect hospital data. The research provides new insights into the transmission dynamics of methicillin-resistant Staphylococcus aureus within a hospital ward to assist infection control and prevention efforts. Additionally, appropriate statistical methods are identified to analyse hospital infection data which take into account the intricacies and potential limitations of such data.

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Green, Daniel. "Understanding urban rainfall-runoff responses using physical and numerical modelling approaches." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/33530.

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This thesis provides a novel investigation into rainfall-runoff processes occurring within a unique two-tiered depth-driven overland flow physical modelling environment, as well as within a numerical model context where parameterisation and DEM/building resolution influences have been investigated using an innovative de-coupled methodology. Two approaches to simulating urban rainfall-runoff responses were used. Firstly, a novel, 9 m2 physical modelling environment consisting of a: (i) a low-cost rainfall simulator component able to simulate consistent, uniformly distributed rainfall events of

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13

Alfadda, Dalal Abdulaziz. "How Does a ‘Model of Graphics’ Approach and Peer Tutoring Lead to Deep Understanding of Data Visualisation?" Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27203.

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This thesis describes how students with no knowledge of descriptive statistics and no experience with data visualisation software learned to produce such visualisations. It proposes a model of graphics approach that enables students to compose a description of a graph and move beyond standard chart types. Two quasi-experimental studies using a one-group pretest–posttest design were conducted with 62 third-year education students from two Australian universities. Intervention involved learning from exposition through an online module, including instructional videos, worked-out examples, proble

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Cowburn, I. Malcolm, Victoria J. Lavis, and Tammi Walker. "BME sex offenders in prison: the problem of participation in offending behaviour groupwork programmes: a tripartite model of understanding." De Montfort University and Sheffield Hallam University, 2008. http://hdl.handle.net/10454/2550.

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This paper addresses the under representation of Black and minority ethnic (BME) sex offenders in the sex offender treatment programme (SOTP) of the prisons of England and Wales. The proportional over representation of BME men in the male sex offender population of the prisons of England and Wales has been noted for at least ten years. Similarly the under representation of BME sex offenders in prison treatment programmes has been a cause for concern during the last decade. This paper presents current demographic data relating to male BME sex offenders in the prisons of England and Wales

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Wahi, Rabbani Rash-ha. "Towards an understanding of the factors associated with severe injuries to cyclists in crashes with motor vehicles." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/121426/1/Rabbani%20Rash-Ha_Wahi_Thesis.pdf.

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This thesis aimed to develop statistical models to overcome limitations in police-reported data to better understand the factors contributing to severe injuries in bicycle motor-vehicle crashes. In low-cycling countries such as Australia, collisions with motor vehicles are the major causes of severe injuries to cyclists and fear of collisions prevents many people from taking up cycling. The empirical results obtained from the models provide valuable insights to assist transport and enforcement agencies to improve cyclist safety.

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Holm, Henrik. "Bidirectional Encoder Representations from Transformers (BERT) for Question Answering in the Telecom Domain. : Adapting a BERT-like language model to the telecom domain using the ELECTRA pre-training approach." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301313.

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The Natural Language Processing (NLP) research area has seen notable advancements in recent years, one being the ELECTRA model which improves the sample efficiency of BERT pre-training by introducing a discriminative pre-training approach. Most publicly available language models are trained on general-domain datasets. Thus, research is lacking for niche domains with domain-specific vocabulary. In this paper, the process of adapting a BERT-like model to the telecom domain is investigated. For efficiency in training the model, the ELECTRA approach is selected. For measuring target- domain perfor

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17

Cox, Katrina M. "Understanding Brigham Young University's Technology Teacher Education Program's Sucess in Attracting and Retaining Female Students." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1416.pdf.

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Enqvist, Juulia. "Developing an understanding of users through an insights generation model : How insights about users can be generated from a variety of sources available in an organization." Thesis, Uppsala universitet, Institutionen för informatik och media, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-331969.

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User centered design is a process which aims to understand user needs and desires by using different tools and methods. This is challenging in the industry as companies have different goals compared to the academic discipline of user centered design. As companies have different goals, common UCD methods which are used in the academic field are often not used. Therefore, there is a gap in how UCD is done in practice compared to theory. Designers and user experience specialists must use the tools which are available, capitalize on the opportunity to use existing resources in the organization in

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Beillevaire, Marc. "Inside the Black Box: How to Explain Individual Predictions of a Machine Learning Model : How to automatically generate insights on predictive model outputs, and gain a better understanding on how the model predicts each individual data point." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229667.

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Machine learning models are becoming more and more powerful and accurate, but their good predictions usually come with a high complexity. Depending on the situation, such a lack of interpretability can be an important and blocking issue. This is especially the case when trust is needed on the user side in order to take a decision based on the model prediction. For instance, when an insurance company uses a machine learning algorithm in order to detect fraudsters: the company would trust the model to be based on meaningful variables before actually taking action and investigating on a particula

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20

O'Shea, Philip James. "Stochastic models for speech understanding." Thesis, University of Cambridge, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.337961.

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21

Douzon, Thibault. "Language models for document understanding." Electronic Thesis or Diss., Lyon, INSA, 2023. http://www.theses.fr/2023ISAL0075.

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Chaque jour, les entreprises du monde entier reçoivent et traitent d'énormes volumes de documents, entraînant des coûts considérables. Pour réduire ces coûts, de grandes entreprises automatisent le traitement documentaire, visant une automatisation complète. Cette thèse se concentre sur l'utilisation de modèles d'apprentissage machine pour extraire des informations de documents. Les progrès récents en matière d'architecture de modèle, en particulier les transformeurs, ont révolutionné le domaine grâce à leur utilisation généralisée de l'attention et à l'amélioration des pré-entraînements auto-

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22

Satkin, Scott. "Data-Driven Geometric Scene Understanding." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/280.

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In this thesis, we describe a data-driven approach to leverage repositories of 3D models for scene understanding. Our ability to relate what we see in an image to a large collection of 3D models allows us to transfer information from these models, creating a rich understanding of the scene. We develop a framework for auto-calibrating a camera, rendering 3D models from the viewpoint an image was taken, and computing a similarity measure between each 3D model and an input image. We demonstrate this data-driven approach in the context of geometry estimation and show the ability to find the identi

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23

Alsheikh, Sami Thabet. "Automated understanding of data visualizations." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112830.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 63-65).<br>When a person views a data visualization (graph, chart, infographic, etc.), they read the text and process the images to quickly understand the communicated message. This research works toward emulating this abili

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David-Rus, Richard. "Explanation and Understanding through Scientific Models." Diss., lmu, 2009. http://nbn-resolving.de/urn:nbn:de:bvb:19-111655.

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Ladicky, Lubor. "Global structured models towards scene understanding." Thesis, Oxford Brookes University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.543818.

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Segal, Aleksandr V. "Iterative Local Model Selection for tracking and mapping." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:8690e0e0-33c5-403e-afdf-e5538e5d304f.

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The past decade has seen great progress in research on large scale mapping and perception in static environments. Real world perception requires handling uncertain situations with multiple possible interpretations: e.g. changing appearances, dynamic objects, and varying motion models. These aspects of perception have been largely avoided through the use of heuristics and preprocessing. This thesis is motivated by the challenge of including discrete reasoning directly into the estimation process. We approach the problem by using Conditional Linear Gaussian Networks (CLGNs) as a generalization o

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Wachsmuth, Sven. "Multi-modal scene understanding using probabilistic models." [S.l. : s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=963782053.

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MARTINI, MASSIMO. "Deep Learning based models for Space Understanding." Doctoral thesis, Università Politecnica delle Marche, 2022. http://hdl.handle.net/11566/295461.

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La comprensione di uno spazio è sempre stata di grande interesse per la comunità scientifica, poiché è molto utilizzata in vari campi. Lo scopo di questa tesi è di migliorare lo stato dell'arte in tutti gli aspetti dello Space Understanding, sia statici che dinamici. Inizialmente, viene descritto un nuovo metodo di deep learning per la segmentazione semantica di nuvole di punti di uno spazio. Esso utilizza feature aggiuntive più discriminanti, rispetto allo stato dell'arte. Sono stati condotti esperimenti sia nel dominio dei beni culturali che nelle scene indoor. Infine, approcci generativi

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Liu, Jiali. "Data expression : understanding and supporting alternatives in data analysis processes." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT022.

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Pour bien comprendre les données, les analystes considèrent différents types d’alternatives: Ils explorent diverses hypothèses, essayent différents types de méthodes et expérimentent un large éventail de solutions possibles. Ces alternatives s’influencent mutuellement dans un processus dynamique et complexe de “sensemaking”. Pourtant, les outils d’analyse actuels considèrent rarement ces alternatives comme une partie intégrante de l’analyse, ce qui rend le processus lourds et cognitif exigeants. En appliquant diverses méthodes empiriques et conceptions d’outils, nous répondons aux questions :

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Modur, Sharada P. "Missing Data Methods for Clustered Longitudinal Data." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1274876785.

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Borgelt, Christian. "Data mining with graphical models." [S.l. : s.n.], 2000. http://deposit.ddb.de/cgi-bin/dokserv?idn=962912107.

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Osuna, Echavarría Leyre Estíbaliz. "Semiparametric Bayesian Count Data Models." Diss., lmu, 2004. http://nbn-resolving.de/urn:nbn:de:bvb:19-25573.

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Sanz-Alonso, Daniel. "Assimilating data into mathematical models." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/83231/.

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Chapter 1 is a brief overview of the Bayesian approach to blending mathematical models with data. For this introductory chapter, I do not claim any originality in the material itself, but only in the presentation, and in the choice of contents. Chapters 2, 3 and 4 are transcripts of published and submitted papers, with minimal cosmetic modifications. I now detail my contributions to each of these papers. Chapter 2 is a transcript of the published paper Long-time Asymptotics of the Filtering Distribution for Partially Observed Chaotic Dynamical Systems" [Sanz-Alonso and Stuart, 2015] written in

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Pliuskuvienė, Birutė. "Adaptive data models in design." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143940-41525.

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In the dissertation the adaptation problem of the software whose instability is caused by the changes in primary data contents and structure as well as the algorithms for applied problems implementing solutions to problems of applied nature is examined. The solution to the problem is based on the methodology of adapting models for the data expressed as relational sets.<br>Disertacijoje nagrinėjama taikomųjų uždavinių sprendimus realizuojančių programinių priemonių, kurių nepastovumą lemia pirminių duomenų turinio, jų struktūrų ir sprendžiamų taikomojo pobūdžio uždavinių algoritmų pokyčiai, ada

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Farewell, Daniel Mark. "Linear models for censored data." Thesis, Lancaster University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441117.

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Woodgate, Rebecca A. "Data assimilation in ocean models." Thesis, University of Oxford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359566.

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Moore, A. M. "Data assimilation in ocean models." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.375276.

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Louzada-Neto, Francisco. "Hazard models for lifetime data." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.268248.

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Ivan, Thomas R. "Comparison of data integrity models." Thesis, Monterey, California. Naval Postgraduate School, 1991. http://hdl.handle.net/10945/43739.

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Approved for public release; distribution is unlimited<br>Data integrity in computer based information systems is a concern because of the damage that can be done by unauthorized manipulation or modification of data. While a standard exists for data security, there currently is not an acceptable standard for integrity. There is a need for incorporation of a data integrity policy into the standard concerning data security in order to produce a complete protection policy. There are several existing models which address data integrity. The Biba, Goguen and Meseguer, and Clark/Wilson data integrit

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Granstedt, Jason Louis. "Data Augmentation with Seq2Seq Models." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78315.

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Paraphrase sparsity is an issue that complicates the training process of question answering systems: syntactically diverse but semantically equivalent sentences can have significant disparities in predicted output probabilities. We propose a method for generating an augmented paraphrase corpus for the visual question answering system to make it more robust to paraphrases. This corpus is generated by concatenating two sequence to sequence models. In order to generate diverse paraphrases, we sample the neural network using diverse beam search. We evaluate the results on the standard VQA validati

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Khatiwada, Aastha. "Multilevel Models for Longitudinal Data." Digital Commons @ East Tennessee State University, 2016. https://dc.etsu.edu/etd/3090.

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Longitudinal data arise when individuals are measured several times during an ob- servation period and thus the data for each individual are not independent. There are several ways of analyzing longitudinal data when different treatments are com- pared. Multilevel models are used to analyze data that are clustered in some way. In this work, multilevel models are used to analyze longitudinal data from a case study. Results from other more commonly used methods are compared to multilevel models. Also, comparison in output between two software, SAS and R, is done. Finally a method consisting of f

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Rolfe, Margaret Irene. "Bayesian models for longitudinal data." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/34435/1/Margaret_Rolfe_Thesis.pdf.

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Longitudinal data, where data are repeatedly observed or measured on a temporal basis of time or age provides the foundation of the analysis of processes which evolve over time, and these can be referred to as growth or trajectory models. One of the traditional ways of looking at growth models is to employ either linear or polynomial functional forms to model trajectory shape, and account for variation around an overall mean trend with the inclusion of random eects or individual variation on the functional shape parameters. The identification of distinct subgroups or sub-classes (latent classe

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Pulgatti, Leandro Duarte. "Data migration between different data models of NOSQL databases." reponame:Repositório Institucional da UFPR, 2017. http://hdl.handle.net/1884/49087.

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Orientador : Marcos Didonet Del Fabro<br>Dissertação (mestrado) - Universidade Federal do Paraná, Setor de Ciências Exatas, Programa de Pós-Graduação em Informática. Defesa: Curitiba, 17/02/2017<br>Inclui referências : f. 76-79<br>Resumo: Desde sua origem, as bases de dados Nosql têm alcançado um uso generalizado. Devido à falta de padrões de desenvolvimento nesta nova tecnologia emergem grandes desafios. Existem modelos de dados , linguagens de acesso e frameworks heterogêneos, o que torna a migração de dados ainda mais complexa. A maior parte das soluções disponíveis hoje se concentra em for

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Vemulapalli, Eswar Venkat Ram Prasad 1976. "Architecture for data exchange among partially consistent data models." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/84814.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.<br>Includes bibliographical references (leaves 75-76).<br>by Eswar Venkat Ram Prasad Vemulapalli.<br>S.M.

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Hultin, Felix. "Understanding Context-free Grammars through Data Visualization." Thesis, Stockholms universitet, Avdelningen för datorlingvistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-130953.

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Ever since the late 1950's, context-free grammars have played an important role within the field of linguistics, been a part of introductory courses and expanded into other fields of study. Meanwhile, data visualization in modern web development has made it possible to do feature rich visualization in the browser. In this thesis, these two developments are united, by developing a browser based app, to write context-free grammars, parse sentences and visualize the output. A user experience study with usability-tests and user-interviews is conducted, in order to investigate the possible benefits

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Jarvis, Stuart. "Optimising, understanding and quantifying Itrax XRF data." Thesis, University of Southampton, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.580571.

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The Itrax core scanner provides rapid, high resolution, non-destructive sediment core analysis using x-ray fluorescence (XRF) spectrometry and x-radiography. The effect of varying instrument settings are explored. Effects of sample properties on XRF data are tested and the uncertainty in XRF data is considered. Existing methods of quantifying XRF data are evaluated. Comparisons are made with other XRF micro-scanners. Finally, the x-radiographic capability of the Itrax core scanner is compared to x-ray computed tomography. Itrax XRF data is generally optimised by use of a 30kV x-ray tube voltag

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Harvey, William John. "Understanding High-Dimensional Data Using Reeb Graphs." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1342614959.

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Brau, Avila Ernesto. "Bayesian Data Association for Temporal Scene Understanding." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/312653.

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Understanding the content of a video sequence is not a particularly difficult problem for humans. We can easily identify objects, such as people, and track their position and pose within the 3D world. A computer system that could understand the world through videos would be extremely beneficial in applications such as surveillance, robotics, biology. Despite significant advances in areas like tracking and, more recently, 3D static scene understanding, such a vision system does not yet exist. In this work, I present progress on this problem, restricted to videos of objects that move in smoothly

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Zama, Ramirez Pierluigi <1992&gt. "Deep Scene Understanding with Limited Training Data." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amsdottorato.unibo.it/9815/1/zamaramirez_pierluigi_tesi.pdf.

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Scene understanding by a machine is a challenging task due to the profound variety of nature. Nevertheless, deep learning achieves impressive results in several scene understanding tasks such as semantic segmentation, depth estimation, or optical flow. However, these kinds of approaches need a large amount of labeled data, leading to massive manual annotations, which are incredibly tedious and expensive to collect. In this thesis, we will focus on understanding a scene through deep learning with limited data availability. First of all, we will tackle the problem of the lack of data for seman

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Hull, Lynette. "FRACTION MODELS THAT PROMOTE UNDERSTANDING FOR ELEMENTARY STUDENTS." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3127.

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This study examined the use of the set, area, and linear models of fraction representation to enhance elementary students' conceptual understanding of fractions. Students' preferences regarding the set, area, and linear models of fractions during independent work was also investigated. This study took place in a 5th grade class consisting of 21 students in a suburban public elementary school. Students participated in classroom activities which required them to use manipulatives to represent fractions using the set, area, and linear models. Students also had experiences using the models to inve

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