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Dissertations / Theses on the topic 'Computer confidence'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Burford, Bryan Christopher. "Contextual effects on computer users' confidence." Thesis, Northumbria University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.410387.

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2

Kamra, Varun. "Mining discriminating patterns in data with confidence." Thesis, California State University, Long Beach, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10196147.

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<p> There are many pattern mining algorithms available for classifying data. The main drawback of most of the algorithms is that they always focus on mining frequent patterns in data that may not always be discriminative enough for classification. There could exist patterns that are not frequent, but are efficient discriminators. In such cases these algorithms might not perform well. This project proposes the MDP algorithm, which aims to search for patterns that are good at discriminating between classes rather than searching for frequent patterns. The MDP ensures that there is at least one mo

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Applebee, Andrelyn C., and n/a. "Attitudes toward computers in the 1990s: a look at gender, age and previous computer experience on computer anxiety, confidence, liking and indifference." University of Canberra. Education, 1994. http://erl.canberra.edu.au./public/adt-AUC20060206.123119.

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The purpose of this study was to investigate the relationship between computer attitudes held by tertiary students and the selected variables of gender, age and previous computer experience. It was hypothesized that no statistically significant differences would be found within the relationships tested. A questionnaire comprising the Computer Attitude Scale (CAS), demographic and other questions was administered to the population enrolled in an introductory computer unit at the University of Canberra, Australian Capital Territory in Semester 1, 1992. The results were subjected to t-test and on

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4

Saxon, John Trevor. "Using traceability in model-to-model transformation to quantify confidence based on previous history." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8047/.

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A widely used method when generating code for the purposes oftransitioning systems, security, the automotive industry and other mission critical scenarios is model-to-model transformation. Traceability is a mechanism for relating the source model elements and the destination elements. It is used to identity how the latter came from the former as well as indicating when and in what order. In these application domains, traceability is a very useful tool for debugging, testing and performance tuning of model transformations. Recent advances in big data technologies have made it possible to produc

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Tsang, Kong Chau. "Confidence measures for disparity estimates from energy neuron populations /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?ECED%202007%20TSANG.

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Nandeshwar, Ashutosh R. "Models for calculating confidence intervals for neural networks." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4600.

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Thesis (M.S.)--West Virginia University, 2006.<br>Title from document title page. Document formatted into pages; contains x, 65 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 62-65).

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Eklöf, Patrik. "Implementing Confidence-based Work Stealing Search in Gecode." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-154475.

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Constraint programming is a field whose goal is to solve extremely large problems with a set of restrictions that define the problem. One such example is generating CPU instructions from source code, because a compiler must choose the optimal instructions that best matches the source code, schedule them optimally to minimize the amount of time it takes to execute the instructions and possibly at the same time also minimize power consumption. The difficulty of the problem lies in that there is no single good way to approach the problem since all parameters are so dependent on each other. For ex

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Lavallée-Adam, Mathieu. "Protein-protein interaction confidence assessment and network clustering computational analysis." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121237.

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Protein-protein interactions represent a crucial source of information for the understanding of the biological mechanisms of the cell. In order to be useful, high quality protein-protein interactions must be computationally extracted from the noisy datasets produced by high-throughput experiments such as affinity purification. Even when filtered protein-protein interaction datasets are obtained, the task of analyzing the network formed by these numerous interactions remains tremendous. Protein-protein interaction networks are large, intricate, and require computational approaches to provide me

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9

Covington, Valerie A. "Lower confidence interval bounds for coherent systems with cyclic components." Thesis, Monterey, California : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA242713.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 1990.<br>Thesis Advisor(s): Woods, W. Max. Second Reader: Whitaker, Lyn R. "September 1990." Description based on title screen viewed on December 17, 2009. DTIC Descriptor(s): Computer programs, intervals, confidence limits, accuracy, theses, Monte Carlo method, cycles, fortran, reliability, yield, standardization, statistical distributions, equations, confidence level, poisson density functions, failure, coherence, binomials, computerized simulation. Author(s) subject terms: Reliability, lower confidence limit, coheren

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Kevork, Ilias. "Confidence interval methods in discrete event computer simulation : theoretical properties and practical recommendations." Thesis, London School of Economics and Political Science (University of London), 1990. http://etheses.lse.ac.uk/1257/.

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Most of steady state simulation outputs are characterized by some degree of dependency between successive observations at different lags measured by the autocorrelation function. In such cases, classical statistical techniques based on independent, identical and normal random variables are not recommended in the construction of confidence intervals for steady state means. Such confidence intervals would cover the steady state mean with probability different from the nominal confidence level. For the last two decades, alternative confidence interval methods have been proposed for stationary sim

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11

Samuelsson, Elin. "A Confidence Measure for Deep Convolutional Neural Network Regressors." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273967.

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Deep convolutional neural networks can be trained to estimate gaze directions from eye images. However, such networks do not provide any information about the reliability of its predictions. As uncertainty estimates could enable more accurate and reliable gaze tracking applications, a method for confidence calculation was examined in this project. This method had to be computationally efficient for the gaze tracker to function in real-time, without reducing the quality of the gaze predictions. Thus, several state-of-the-art methods were abandoned in favor of Mean-Variance Estimation, which use

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12

Helldin, Boman Joakim. "Assessing confidence in a continuous delivery pipeline for software reliability measurement." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280692.

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Confidence is a set of metrics and constraints used to measure software reliability. It allows for evaluation of software in agile development phases. The goal of confidence assessment is to make sure software is safe for deployment in a production environment. This study presents which metrics can be relevant and useful when assessing confidence in a continuous delivery pipeline. Continuous delivery pipelines are used to produce software in short cycles and contain a lot of information. To find potential relevant data for confidence assessment, first, a literature review is performed. Then, i

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13

Kamppari, Simo O. (Simo Olli) 1976. "Word and phone level acoustic confidence scoring for speech understanding systems." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86458.

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Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.<br>Includes bibliographical references (p. 89-91).<br>by Simo O. Kamppari.<br>M.Eng.

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Dusitsin, Krid, and Kurt Kosbar. "Accuracy of Computer Simulations that use Common Pseudo-random Number Generators." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/609238.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California<br>In computer simulations of communication systems, linear congruential generators and shift registers are typically used to model noise and data sources. These generators are often assumed to be close to ideal (i.e. delta correlated), and an insignificant source of error in the simulation results. The samples generated by these algorithms have non-ideal autocorrelation functions, which may cause a non-uniform distribution in the data or noise sign

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Olivi, Matteo. "Evaluation of confidence-driven cost aggregation strategies." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11621/.

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In this thesis I describe eight new stereo matching algorithms that perform the cost-aggregation step using a guided filter with a confidence map as guidance image, and share the structure of a linear stereo matching algorithm. The results of the execution of the proposed algorithms on four pictures from the Middlebury dataset are shown as well. Finally, based on these results, a ranking of the proposed algorithms is presented.

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Bakshi, Arjun. "Methodology For Generating High-Confidence Cost-Sensitive Rules For Classification." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868085.

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Burger, Clayton. "A hybridisation technique for game playing using the upper confidence for trees algorithm with artificial neural networks." Thesis, Nelson Mandela Metropolitan University, 2014. http://hdl.handle.net/10948/3957.

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In the domain of strategic game playing, the use of statistical techniques such as the Upper Confidence for Trees (UCT) algorithm, has become the norm as they offer many benefits over classical algorithms. These benefits include requiring no game-specific strategic knowledge and time-scalable performance. UCT does not incorporate any strategic information specific to the game considered, but instead uses repeated sampling to effectively brute-force search through the game tree or search space. The lack of game-specific knowledge in UCT is thus both a benefit but also a strategic disadvantage.

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Radhakrishnan, Ramsundar. "Increasing Accuracy in the Confidence Level during Functional Verification of Combinational Logic Circuits." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1308239573.

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Valeinis, Janis. "Confidence bands for structural relationship models." Doctoral thesis, [S.l.] : [s.n.], 2007. http://webdoc.sub.gwdg.de/diss/2007/valeinis.

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LeBaron, Dean M. "CVIC: Cluster Validation Using Instance-Based Confidences." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5736.

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As unlabeled data becomes increasingly available, the need for robust data mining techniques increases as well. Clustering is a common data mining tool which seeks to find related, independent patterns in data called clusters. The cluster validation problem addresses the question of how well a given clustering fits the data set. We present CVIC (cluster validation using instance-based confidences) which assigns confidence scores to each individual instance, as opposed to more traditional methods which focus on the clusters themselves. CVIC trains supervised learners to recreate the clustering,

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Green, Nathan Alan. "Establishing Public Confidence in the Viability of Fingerprint Biometric Technology." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd919.pdf.

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Marson, Luca. "Enforcing low confidence class predictions for out of distribution data in deep convolutional networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281965.

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Modern discriminative deep neural networks are known to perform high confident predictions for inputs far away from the training data distribution, commonly referred to as out-of-distribution inputs. This property poses security concerns for the deployment of deep learning models in critical applications like autonomous vehicles because it hinders the detection of such inputs. The aim of this thesis is to investigate the problem of out-of-distribution inputs detection and to propose a solution based on a novel method to enforce low confidence far away from the training data in a supervised set

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Rayakota, Balaji. "Generating high confidence contracts without user input using Daikon and ESC/Java2." Kansas State University, 2013. http://hdl.handle.net/2097/15731.

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Master of Science<br>Department of Computing and Information Science<br>Torben Amtoft<br>Invariants are properties which are asserted to be true at certain program points. Invariants are of paramount importance when proving program correctness and program properties. Method, constructor, and class invariants can serve as contracts which specify program behavior and can lead to more accurate reuse of code; more accurate than comments because contracts are less error prone and they may be proved without testing. Dynamic invariant generation techniques run the program under inspection and observ

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Monteith, Kristine Perry. "Heuristic Weighted Voting." BYU ScholarsArchive, 2007. https://scholarsarchive.byu.edu/etd/1206.

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Selecting an effective method for combining the votes of classifiers in an ensemble can have a significant impact on the overall classification accuracy an ensemble is able to achieve. With some methods, the ensemble cannot even achieve as high a classification accuracy as the most accurate individual classifying component. To address this issue, we present the strategy of Heuristic Weighted Voting, a technique that uses heuristics to determine the confidence that a classifier has in its predictions on an instance by instance basis. Using these heuristics to weight the votes in an ensemble res

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Rotunda, Cathy J. "A study of teachers' confidence levels toward meeting the computer technology instructional objectives of the WV Dept. of Education." Morgantown, W. Va. : [West Virginia University Libraries], 1999. http://etd.wvu.edu/templates/showETD.cfm?recnum=717.

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Thesis (Ed. D.)--West Virginia University, 1999.<br>Title from document title page. Document formatted into pages; contains vii, 119 p. : ill. Includes abstract. Includes bibliographical references (p. 83-86).

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Landmesser, John Andrew. "Improving it portfolio management decision confidence using multi-criteria decision making and hypervariate display techniques." Thesis, Nova Southeastern University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3609737.

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<p> Information technology (IT) investment decision makers are required to process large volumes of complex data. An existing body of knowledge relevant to IT portfolio management (PfM), decision analysis, visual comprehension of large volumes of information, and IT investment decision making suggest Multi-Criteria Decision Making (MCDM) and hypervariate display techniques can reduce cognitive load and improve decision confidence in IT PfM decisions. This dissertation investigates improving the decision confidence by reducing cognitive burden of the decision maker through greater comprehensi

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Antonsson, Roger, and Lena Petterson. "Think big : for small - infusing confidence, security and trustworthiness for mobile services." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3535.

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The use of mobile telephony has over the past years increased and consequently has the development of services over the mobile phone also increased. This semester we have taken part in a large system development project, our contributions have been designing the graphical user interfaces. In doing that we found the problem with how to mediate trust to a user through a graphical user interface interesting. In this thesis we are focusing on how to develop graphical user interfaces for a mobile phone service that radiate and infuse confidence, security and trustworthiness. In order to attain the

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Robinson, Ashley Renee. "The Attitudes of African American Middle School Girls Toward Computer Science: Influences of Home, School, and Technology Use." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52277.

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The number of women in computing is significantly low compared to the number of men in the discipline, with African American women making up an even smaller segment of this population. Related literature accredits this phenomenon to multiple sources, including background, stereotypes, discrimination, self-confidence, and a lack of self-efficacy or belief in one's capabilities. However, a majority of the literature fails to represent African American females in research studies. This research used a mixed methods approach to understand the attitudes of African American middle school girls

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Maninger, Robert M. "The Effects of Technology Integration Techniques in Elementary Mathematics Methods Courses on Elementary Preservice Teachers' Computer Self-Efficacy, Software Integration Confidence, and Lesson Planning." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4307/.

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The purpose of this study was to demonstrate the effect of computer technology integration techniques on preservice teachers' feelings of computer self-efficacy and feelings of confidence in software integration. It was also the purpose of this study to interpret these preservice teachers' confidence in using computer technology integration techniques in their own planning and instruction during student teaching. The participants in this study were from two intact, non-randomly-formed classrooms. They were 27 preservice teachers enrolled in the College of Education at a university in north cen

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Anderson, Paul E. "A computational framework for analyzing chemical modification and limited proteolysis experimental data used for high confidence protein structure prediction." Wright State University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=wright1161891355.

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Allen, Julia Elizabeth. "Transformative Learning Theory as a Basis for Identifying Barriers to Faculty Confidence in Online Instruction." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1011768/.

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This study applied the stages of transformative learning to faculty perceptions and application of best practices to online learning. Research questions included: Can transformative learning theory constructs be used to identify potential barriers in faculty development and delivery of online instruction?; How does the stage of transformative learning of online faculty relate to their perceptions about online learning and their application of best practices?; Is there a correlation between stage of transformative learning and the amount of experience with online instruction a faculty member ha

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Alfayez, Abdulaziz Abdullah A. "Exploring the Level of Conceptual Mastery in Computational Thinking Among Male Computer Science Teachers at Public Secondary Schools in Saudi Arabia." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1538656498846648.

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Hartley, Michael A. "A simulation study of the error induced in one-sided reliability confidence bounds for the Weiball distribution using a small sample size with heavily censored data." Thesis, Monterey California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1260.

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Approved for public release; distribution in unlimited.<br>Budget limitations have reduced the number of military components available for testing, and time constraints have reduced the amount of time available for actual testing resulting in many items still operating at the end of test cycles. These two factors produce small test populations (small sample size) with "heavily" censored data. The assumption of "normal approximation" for estimates based on these small sample sizes reduces the accuracy of confidence bounds of the probability plots and the associated quantities. This creates a pr

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Obioha, Chinonye Leuna. "User-centred design to engender trust in e-commerce." Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2414.

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Thesis (MTech (Information Technology))--Cape Peninsula University of Technology, 2016.<br>Consumer trust is a core element for any e-commerce website. This study aimed to explore attributes of business-to-consumers (B2C) e-commerce websites that can communicate and engender trust from the users’ perspective using user-centred design. E-commerce websites are known to have features such as security certificates and encryption methods to ensure trust, but this requires technical knowhow to understand. The technologies used to develop websites have improved so far, but it has little effect on imp

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Sangi, P. (Pekka). "Object motion estimation using block matching with uncertainty analysis." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526200774.

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Abstract Estimation of 2-D motion is one of the fundamental problems in video processing and computer vision. This thesis addresses two general tasks in estimating projected motions of background and foreground objects in a scene: global motion estimation and motion based segmentation. The work concentrates on the study of the block matching method, and especially on those cases where the matching measure is based on the sum of squared or absolute displaced frame differences. Related techniques for performing the confidence analysis of local displacement are considered and used to improve the

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Saunders, Thomas. "Image motion analysis using inertial sensors." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687346.

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Understanding the motion of a camera from only the image(s) it captures is a di cult problem. At best we might hope to estimate the relative motion between camera and scene if we assume a static subject, but once we start considering scenes with dynamic content it becomes di cult to di↵erentiate between motion due to the observer or motion due to scene movement. In this thesis we show how the invaluable cues provided by inertial sensor data can be used to simplify motion analysis and relax requirements for several computer vision problems. This work was funded by the University of Bath.

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Karlsson, Sara. "Data- och tv-spel – en väg till språkkunskap : Fritidsengelskans betydelse för elevernas språkliga självförtroende i en åländsk skolkontext." Thesis, Örebro universitet, Institutionen för humaniora, utbildnings- och samhällsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-53624.

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The objective of this study is to investigate a connection between pupils’ self-confidence and extramural English. This is a quantitative survey study made among 37 fifth-graders in the Aland Islands, where a group of pupils were given questions about how they feel about English as a subject in school, and particularly about spoken English. There were also questions about their exposure to English at home. The results of the survey show that there is a connection between confidence and extramural English. Especially among the pupils playing computer games, the result shows that they are more s

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Bornefalk, Hermansson Anna. "Resampling Evaluation of Signal Detection and Classification : With Special Reference to Breast Cancer, Computer-Aided Detection and the Free-Response Approach." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl [distributör], 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7452.

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Gustafson, Nathaniel Lee. "A Confidence-Prioritization Approach to Data Processing in Noisy Data Sets and Resulting Estimation Models for Predicting Streamflow Diel Signals in the Pacific Northwest." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3294.

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Streams in small watersheds are often known to exhibit diel fluctuations, in which streamflow oscillates on a 24-hour cycle. Streamflow diel fluctuations, which we investigate in this study, are an informative indicator of environmental processes. However, in Environmental Data sets, as well as many others, there is a range of noise associated with individual data points. Some points are extracted under relatively clear and defined conditions, while others may include a range of known or unknown confounding factors, which may decrease those points' validity. These points may or may not remain

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Ericson, Julia. "Modelling Immediate Serial Recall using a Bayesian Attractor Neural Network." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291553.

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In the last decades, computational models have become useful tools for studying biological neural networks. These models are typically constrained by either behavioural data from neuropsychological studies or by biological data from neuroscience. One model of the latter kind is the Bayesian Confidence Propagating Neural Network (BCPNN) - an attractor network with a Bayesian learning rule which has been proposed as a model for various types of memory. In this thesis, I have further studied the potential of the BCPNN in short-term sequential memory. More specifically, I have investigated if the

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Kavurucu, Yusuf. "An Ilp-based Concept Discovery System For Multi-relational Data Mining." Phd thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/12610688/index.pdf.

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Multi Relational Data Mining has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational databases. However, as patterns involve multiple relations, the search space of possible hypothesis becomes intractably complex. In order to cope with this problem, several relational knowledge discovery systems have been developed employing various search strategies, heuristics and language pattern limitations. In this thesis, Inductive Logic Programming (ILP) based concept discovery is studied and two systems based on

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Arthur, Jacob D. "Enhanced Prediction of Network Attacks Using Incomplete Data." NSUWorks, 2017. http://nsuworks.nova.edu/gscis_etd/1020.

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For years, intrusion detection has been considered a key component of many organizations’ network defense capabilities. Although a number of approaches to intrusion detection have been tried, few have been capable of providing security personnel responsible for the protection of a network with sufficient information to make adjustments and respond to attacks in real-time. Because intrusion detection systems rarely have complete information, false negatives and false positives are extremely common, and thus valuable resources are wasted responding to irrelevant events. In order to provide bette

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Serrano, Martínez-Santos Nicolás. "Interactive Transcription of Old Text Documents." Doctoral thesis, Universitat Politècnica de València, 2014. http://hdl.handle.net/10251/37979.

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Nowadays, there are huge collections of handwritten text documents in libraries all over the world. The high demand for these resources has led to the creation of digital libraries in order to facilitate the preservation and provide electronic access to these documents. However text transcription of these documents im- ages are not always available to allow users to quickly search information, or computers to process the information, search patterns or draw out statistics. The problem is that manual transcription of these documents is an expensive task from both economical and time view

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Pereira, Patrícia. "Attractor Neural Network modelling of the Lifespan Retrieval Curve." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280732.

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Human capability to recall episodic memories depends on how much time has passed since the memory was encoded. This dependency is described by a memory retrieval curve that reflects an interesting phenomenon referred to as a reminiscence bump - a tendency for older people to recall more memories formed during their young adulthood than in other periods of life. This phenomenon can be modelled with an attractor neural network, for example, the firing-rate Bayesian Confidence Propagation Neural Network (BCPNN) with incremental learning. In this work, the mechanisms underlying the reminiscence bu

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Lindblad, Simon. "Labeling Clinical Reports with Active Learning and Topic Modeling." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148463.

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Supervised machine learning models require a labeled data set of high quality in order to perform well. Available text data often exists in abundance, but it is usually not labeled. Labeling text data is a time consuming process, especially in the case where multiple labels can be assigned to a single text document. The purpose of this thesis was to make the labeling process of clinical reports as effective and effortless as possible by evaluating different multi-label active learning strategies. The goal of the strategies was to reduce the number of labeled documents a model needs, and increa

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Santos, Fernando Azenha Bautzer. "Desenvolvimento de programas computacionais visando a estimativa de parâmetros de interesse genético-populacional e o teste de hipóteses genéticas." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/41/41131/tde-02122006-121406/.

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A dissertação apresenta os resultados obtidos com o desenvolvimento de um programa de computação abrangente em interface gráfica para ambiente Windows visando a estimativa de parâmetros de interesse genético-populacional (freqüências alélicas, respectivos erros-padrão e intervalos de confiança a 95%) e o teste de hipóteses genéticas (equilíbrio de Hardy-Weinberg e análise de estruturação hierárquica populacional), por meio de métodos tradicionais e por meio de testes exatos obtidos com procedimentos de simulação (bootstrap e jackknife).<br>The dissertation presents the results obtained with th

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Ren, Zhen. "Towards Confident Body Sensor Networking." W&M ScholarWorks, 2012. https://scholarworks.wm.edu/etd/1539623606.

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With the recent technology advances of wireless communication and lightweight low-power sensors, Body Sensor Network (BSN) is made possible. More and more researchers are interested in developing numerous novel BSN applications, such as remote health/fitness monitoring, military and sport training, interactive gaming, personal information sharing, and secure authentication. Despite the unstable wireless communication, various confidence requirements are placed on the BSN networking service. This thesis aims to provide Quality of Service (QoS) solutions for BSN communication, in order to achiev

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Yang, Yinan Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "W3 Trust Model (W3TM): a trust-profiling framework to assess trust and transitivity of trust of web-based services in a heterogeneous web environment." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2005. http://handle.unsw.edu.au/1959.4/38655.

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The growth of eCommerce is being hampered by a lack of trust between providers and consumers of Web-based services. While Web trust issues have been addressed by researchers in many disciplines, a comprehensive approach has yet to be established. This thesis proposes a conceptual trust-profiling framework???W3TF???which addresses issues of trust and user confidence through a range of new user-centred trust measures???trust categories, trust domains, transitivity of trust, fading factor analysis, standalone assessment, hyperlinked assessment and relevance assessment. While others now use the co

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Potet, Marion. "Vers l'intégration de post-éditions d'utilisateurs pour améliorer les systèmes de traduction automatiques probabilistes." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00995104.

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Les technologies de traduction automatique existantes sont à présent vues comme une approche prometteuse pour aider à produire des traductions de façon efficace et à coût réduit. Cependant, l'état de l'art actuel ne permet pas encore une automatisation complète du processus et la coopération homme/machine reste indispensable pour produire des résultats de qualité. Une pratique usuelle consiste à post-éditer les résultats fournis par le système, c'est-à-dire effectuer une vérification manuelle et, si nécessaire, une correction des sorties erronées du système. Ce travail de post-édition effectué

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Yang, Qing. "Segmentation d'images ultrasonores basée sur des statistiques locales avec une sélection adaptative d'échelles." Phd thesis, Université de Technologie de Compiègne, 2013. http://tel.archives-ouvertes.fr/tel-00869975.

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La segmentation d'images est un domaine important dans le traitement d'images et un grand nombre d'approches différentes ent été développées pendant ces dernières décennies. L'approche des contours actifs est un des plus populaires. Dans ce cadre, cette thèse vise à développer des algorithmes robustes, qui peuvent segmenter des images avec des inhomogénéités d'intensité. Nous nous concentrons sur l'étude des énergies externes basées région dans le cadre des ensembles de niveaux. Précisément, nous abordons la difficulté de choisir l'échelle de la fenêtre spatiale qui définit la localité. Notre

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