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Dissertations / Theses on the topic 'Accelerative learning'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Scharn, Kay. "Accelerative learning in review." Online version, 1999. http://www.uwstout.edu/lib/thesis/1999/1999scharnk.pdf.

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Mou, Dai, and manchurian0@yahoo com. "The Use of Suggestion as a Classroom Learning Strategy in China and Australia: An Assessment Scale with Structural Equation Explanatory Models in Terms of Stress, Depression, Learning Styles and Academic Grades." RMIT University. Education, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070207.152256.

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This study is innovative in that it draws together the concepts of suggestion from several cultural groups and develops an inventory to account for variations the occurrence of scale to studies the relatively new area of the effects of suggestion in classrooms and compares effect on personality and academic variables. As new ideas and knowledge become more widespread and accepted by the community and teaching profession, precision in the applications of suggestion in the classroom is being seen as more important. Although new to education, suggestion and similar variations has al

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3

Mathari, Bakthavatsalam Pagalavan. "Hardware Acceleration of a Neighborhood Dependent Component Feature Learning (NDCFL) Super-Resolution Algorithm." University of Dayton / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1366034621.

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4

Samal, Kruttidipta. "FPGA acceleration of CNN training." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54467.

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This thesis presents the results of an architectural study on the design of FPGA- based architectures for convolutional neural networks (CNNs). We have analyzed the memory access patterns of a Convolutional Neural Network (one of the biggest networks in the family of deep learning algorithms) by creating a trace of a well-known CNN architecture and by developing a trace-driven DRAM simulator. The simulator uses the traces to analyze the effect that different storage patterns and dissonance in speed between memory and processing element, can have on the CNN system. This insight is then used cre

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5

Singh, Karanpreet. "Accelerating Structural Design and Optimization using Machine Learning." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/104114.

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Machine learning techniques promise to greatly accelerate structural design and optimization. In this thesis, deep learning and active learning techniques are applied to different non-convex structural optimization problems. Finite Element Analysis (FEA) based standard optimization methods for aircraft panels with bio-inspired curvilinear stiffeners are computationally expensive. The main reason for employing many of these standard optimization methods is the ease of their integration with FEA. However, each optimization requires multiple computationally expensive FEA evaluations, making their

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6

Li, Zheng. "Accelerating Catalyst Discovery via Ab Initio Machine Learning." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/95915.

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In recent decades, machine learning techniques have received an explosion of interest in the domain of high-throughput materials discovery, which is largely attributed to the fastgrowing development of quantum-chemical methods and learning algorithms. Nevertheless, machine learning for catalysis is still at its initial stage due to our insufficient knowledge of the structure-property relationships. In this regard, we demonstrate a holistic machine-learning framework as surrogate models for the expensive density functional theory to facilitate the discovery of high-performance catalysts. The fr

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Erickson, Xavante. "Acceleration of Machine-Learning Pipeline Using Parallel Computing." Thesis, Uppsala universitet, Signaler och system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-441722.

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Researchers from Lund have conducted research on classifying images in three different categories, faces, landmarks and objects from EEG data [1]. The researchers used SVMs (Support Vector Machine) to classify between the three different categories [2, 3]. The scripts written to compute this had the potential to be extremely parallelized and could potentially be optimized to complete the computations much faster. The scripts were originally written in MATLAB which is a propriety software and not the most popular language for machine learning. The aim of this project is to translate the MATLAB

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8

Irani, Arya John. "Utilizing negative policy information to accelerate reinforcement learning." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53481.

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A pilot study by Subramanian et al. on Markov decision problem task decomposition by humans revealed that participants break down tasks into both short-term subgoals with a defined end-condition (such as "go to food") and long-term considerations and invariants with no end-condition (such as "avoid predators"). In the context of Markov decision problems, behaviors having clear start and end conditions are well-modeled by an abstraction known as options, but no abstraction exists in the literature for continuous constraints imposed on the agent's behavior. We propose two representations to

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9

Rodrigues, Maia-Pinto Renata, and Fleith Denise de Souza. "Learning acceleration for gifted students: Favorable and unfavorable arguments." Pontificia Universidad Católica del Perú, 2012. http://repositorio.pucp.edu.pe/index/handle/123456789/102530.

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This paper analyzes acceleration in education as a practice for meeting the educational needs of gifted students, and points out favorable and unfavorable arguments on the use of this practice. Acceleration is an educational practice consisting of several teaching strategies designed to encourage academically gifted students and reduce their time spent in school. It promotes faster learning by matching the curriculum to the student’s level of knowledge, interest and motivation. There are several arguments in favor of acceleration, such as the improvement of academic performance, self-esteem an

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10

Obeda, Larry. "Impact of Learning Acceleration Program on Students Academic Success." Thesis, Wingate University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10685692.

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<p> This study is a review of the Learning Acceleration Program and the impact it has on student academic success in the Rural School District (pseudonym). This mixed-methods study used qualitative and quantitative data analyses to identify the impact that the Learning Acceleration Program has on the overall attendance and graduation rates for the district. The study also provided an understanding of the impact the Learning Acceleration Program has on perceptions as it pertains to the program. Data for this study were collected for the period of three academic school years on attendance, gradu

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11

Walsh, Debra. "An analysis of the competencies that instructors need to teach using accelerated learning." Online version, 2002. http://www.uwstout.edu/lib/thesis/2002/2002walshd.pdf.

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12

Jones, Matthew Cecil. "Accelerating Conceptual Design Analysis of Marine Vehicles through Deep Learning." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/89341.

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Evaluation of the flow field imparted by a marine vehicle reveals the underlying efficiency and performance. However, the relationship between precise design features and their impact on the flow field is not well characterized. The goal of this work is first, to investigate the thermally-stratified near field of a self-propelled marine vehicle to identify the significance of propulsion and hull-form design decisions, and second, to develop a functional mapping between an arbitrary vehicle design and its associated flow field to accelerate the design analysis process. The unsteady Reynolds-

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MARTINS, FABIO JESSEN WERNECK DE ALMEIDA. "METHODS FOR ACCELERATION OF LEARNING PROCESS OF REINFORCEMENT LEARNING NEURO-FUZZY HIERARCHICAL POLITREE MODEL." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2010. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=16421@1.

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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>FUNDAÇÃO DE APOIO À PESQUISA DO ESTADO DO RIO DE JANEIRO<br>Neste trabalho foram desenvolvidos e avaliados métodos com o objetivo de melhorar e acelerar o processo de aprendizado do modelo de Reinforcement Learning Neuro-Fuzzy Hierárquico Politree (RL-NFHP). Este modelo pode ser utilizado para dotar um agente de inteligência através de processo de Aprendizado por Reforço (Reinforcement Learning). O modelo RL-NFHP apresenta as seguintes características: aprendizado automático da estrutura do modelo; auto-ajuste dos parâmetros asso

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14

Ida, Yasutoshi. "Algorithms for Accelerating Machine Learning with Wide and Deep Models." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263771.

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15

Bhave, Sampada Vasant. "Novel dictionary learning algorithm for accelerating multi-dimensional MRI applications." Diss., University of Iowa, 2016. https://ir.uiowa.edu/etd/2182.

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The clinical utility of multi-dimensional MRI applications like multi-parameter mapping and 3D dynamic lung imaging is limited by long acquisition times. Quantification of multiple tissue MRI parameters has been shown to be useful for early detection and diagnosis of various neurological diseases and psychiatric disorders. They also provide useful information about disease progression and treatment efficacy. Dynamic lung imaging enables the diagnosis of abnormalities in respiratory mechanics in dyspnea and regional lung function in pulmonary diseases like chronic obstructive pulmonary disease

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16

McDonald, Terry E. "A comprehensive literature review and critique of the identification of methods and practical applications of accelerated learning strategies." Online version, 2001. http://www.uwstout.edu/lib/thesis/2001/2001mcdonaldt.pdf.

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17

Meloy, Faye A. Haslam Elizabeth L. "Managing the maelstrom self-regulated learning, academic outcomes, and the student learning experience in a second-degree accelerated baccalaureate nursing program /." Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3118.

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18

Amar, Yehia. "Accelerating process development of complex chemical reactions." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/288220.

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Process development of new complex reactions in the pharmaceutical and fine chemicals industries is challenging, and expensive. The field is beginning to see a bridging between fundamental first-principles investigations, and utilisation of data-driven statistical methods, such as machine learning. Nonetheless, process development and optimisation in these industries is mostly driven by trial-and-error, and experience. Approaches that move beyond these are limited to the well-developed optimisation of continuous variables, and often do not yield physical insights. This thesis describes several

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19

Xu, Yi. "Accelerating convex optimization in machine learning by leveraging functional growth conditions." Diss., University of Iowa, 2019. https://ir.uiowa.edu/etd/7048.

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In recent years, unprecedented growths in scale and dimensionality of data raise big computational challenges for traditional optimization algorithms; thus it becomes very important to develop efficient and effective optimization algorithms for solving numerous machine learning problems. Many traditional algorithms (e.g., gradient descent method) are black-box algorithms, which are simple to implement but ignore the underlying geometrical property of the objective function. Recent trend in accelerating these traditional black-box algorithms is to leverage geometrical properties of the objectiv

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Biswas, Rajarshi. "Benchmarking and Accelerating TensorFlow-based Deep Learning on Modern HPC Systems." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531827968620294.

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21

Morozs, Nils. "Accelerating reinforcement learning for dynamic spectrum access in cognitive wireless networks." Thesis, University of York, 2015. http://etheses.whiterose.ac.uk/11523/.

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This thesis studies the applications of distributed reinforcement learning (RL) based machine intelligence to dynamic spectrum access (DSA) in future cognitive wireless networks. In particular, this work focuses on ways of accelerating distributed RL based DSA algorithms in order to improve their adaptability in terms of the initial and steady-state performance, and the quality of service (QoS) convergence behaviour. The performance of the DSA schemes proposed in this thesis is empirically evaluated using large-scale system-level simulations of a temporary event scenario which involves a cogni

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22

Kodi, Ramanah Doogesh. "Bayesian statistical inference and deep learning for primordial cosmology and cosmic acceleration." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS169.

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Cette thèse a pour vocation le développement et l’application de nouvelles techniques d’inférence statistique bayésienne et d’apprentissage profond pour relever les défis statistiques imposés par les gros volumes de données complexes des missions du fond diffus cosmologique (CMB) ou des relevés profonds de galaxies de la prochaine génération, dans le but d'optimiser l’exploitation des données scientifiques afin d’améliorer, à terme, notre compréhension de l’Univers. La première partie de cette thèse concerne l'extraction des modes E et B du signal de polarisation du CMB à partir des données. N

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23

Javed, Muhammad Haseeb. "Characterizing and Accelerating Deep Learning and Stream Processing Workloads using Roofline Trajectories." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1574445196024129.

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24

Williams, Richard Larry. "The impact of accelerated versus traditional learning with a practical test in advanced culinary skills at Fox Valley Technical College." Online version, 2008. http://www.uwstout.edu/lib/thesis/2008/2008williamsr.pdf.

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Mukherjee, Rajaditya. "Accelerating Data-driven Simulations for Deformable Bodies and Fluids." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523634514740489.

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26

Van, Mai Vien. "Large-Scale Optimization With Machine Learning Applications." Licentiate thesis, KTH, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263147.

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This thesis aims at developing efficient algorithms for solving some fundamental engineering problems in data science and machine learning. We investigate a variety of acceleration techniques for improving the convergence times of optimization algorithms. First, we investigate how problem structure can be exploited to accelerate the solution of highly structured problems such as generalized eigenvalue and elastic net regression. We then consider Anderson acceleration, a generic and parameter-free extrapolation scheme, and show how it can be adapted to accelerate practical convergence of proxi

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Koufetta, Christiana. "Teaching thinking in schools : an investigation into the teaching of CASE and its contribution to student learning." Thesis, University of Sheffield, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322909.

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28

Arale, Brännvall Marian. "Accelerating longitudinal spinfluctuation theory for iron at high temperature using a machine learning method." Thesis, Linköpings universitet, Teoretisk Fysik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170314.

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In the development of materials, the understanding of their properties is crucial. For magnetic materials, magnetism is an apparent property that needs to be accounted for. There are multiple factors explaining the phenomenon of magnetism, one being the effect of vibrations of the atoms on longitudinal spin fluctuations. This effect can be investigated by simulations, using density functional theory, and calculating energy landscapes. Through such simulations, the energy landscapes have been found to depend on the magnetic background and the positions of the atoms. However, when simulating a s

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Mills, Alessaundra D. "Strategic school solutions| A capacity building framework for leaders accelerating 21st century teaching and learning." Thesis, Pepperdine University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10182306.

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<p> This grounded theory study sought to create a viable framework that may help school leaders accelerate the expansion of an authentic 21st century instructional model. The U.S. economy is now more dependent on knowledge work than manufacturing. Yet, many for-profit, non-profit, and public sectors perceive schools as not adequately preparing students for 21st century careers and colleges. However, customary principal-led change is challenging. Leaders face several complex organizational challenges, including a modern-day duty and role expansion that limits time, and the inherent difficulty o

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Dantas, Cássio Fraga. "Accelerating sparse inverse problems using structured approximations." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S065.

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En raison de la vertigineuse croissance des données disponibles, la complexité computationnelle des algorithmes traitant les problèmes inverses parcimonieux peut vite devenir un goulot d'étranglement. Dans cette thèse, nous explorons deux stratégies pour accélérer de tels algorithmes. D'abord, nous étudions l'utilisation de dictionnaires structurés rapides à manipuler. Une famille de dictionnaires écrits comme une somme de produits Kronecker est proposée. Ensuite, nous développons des tests d'élagage sûrs, capables d'identifier et éliminer des atomes inutiles (colonnes de la matrice dictionnai

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TAKEUCHI, Yoshinori, Hiroaki KUDO, Noboru OHNISHI, Tetsuya MATSUMOTO, and Ukrit WATCHAREERUETAI. "Acceleration of Genetic Programming by Hierarchical Structure Learning: A Case Study on Image Recognition Program Synthesis." Institute of Electronics, Information and Communication Engineers, 2009. http://hdl.handle.net/2237/15003.

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ALMEIDA, RAPHAEL CELESTINO DE. "THE FATE OF THE WEAKEST: SUBORDINATE INCLUSION: A STUD OF STUDENTS PLACED IN LEARNING ACCELERATION CLASSES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25997@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>Esta pesquisa investiga o destino de alunos do Ensino Médio em defasagem idade-série em uma escola da rede estadual de educação do Rio de Janeiro, analisando a experiência de inserção em duas classes de aceleração da aprendizagem do Programa Autonomia da Fundação Roberto Marinho. A partir da conjugação de observações com entrevistas, busca, na fronteira entre etnografia e educação, aproximar-se da perspectiva destes alunos para tentar constru

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Rose, Linda Dean. "Teaching and learning in community college a close-up view of student success in accelerated developmental writing classes /." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1459901941&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Abdelouahab, Kamel. "Reconfigurable hardware acceleration of CNNs on FPGA-based smart cameras." Thesis, Université Clermont Auvergne‎ (2017-2020), 2018. http://www.theses.fr/2018CLFAC042/document.

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Les Réseaux de Neurones Convolutifs profonds (CNNs) ont connu un large succès au cours de la dernière décennie, devenant un standard de la vision par ordinateur. Ce succès s’est fait au détriment d’un large coût de calcul, où le déploiement des CNNs reste une tâche ardue surtout sous des contraintes de temps réel.Afin de rendre ce déploiement possible, la littérature exploite le parallélisme important de ces algorithmes, ce qui nécessite l’utilisation de plate-formes matérielles dédiées. Dans les environnements soumis à des contraintes de consommations énergétiques, tels que les nœuds des camé

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Dahlin, Johan. "Accelerating Monte Carlo methods for Bayesian inference in dynamical models." Doctoral thesis, Linköpings universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-125992.

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Making decisions and predictions from noisy observations are two important and challenging problems in many areas of society. Some examples of applications are recommendation systems for online shopping and streaming services, connecting genes with certain diseases and modelling climate change. In this thesis, we make use of Bayesian statistics to construct probabilistic models given prior information and historical data, which can be used for decision support and predictions. The main obstacle with this approach is that it often results in mathematical problems lacking analytical solutions. T

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Nowak, Michel. "Accelerating Monte Carlo particle transport with adaptively generated importance maps." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS403/document.

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Les simulations Monte Carlo de transport de particules sont un outil incontournable pour l'étude de problèmes de radioprotection. Leur utilisation implique l'échantillonnage d'événements rares grâce à des méthode de réduction de variance qui reposent sur l'estimation de la contribution d'une particule au détecteur. On construit cette estimation sous forme d'une carte d'importance.L’objet de cette étude est de proposer une stratégie qui permette de générer de manière adaptative des cartes d'importance durant la simulation Monte Carlo elle-même. Le travail a été réalisé dans le code de transport

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Ghneim, Jabra F. "The Practice of Belonging: Can Learning Entrepreneurship Accelerate and Aid the Social Inclusion of Refugees in the United States." BYU ScholarsArchive, 2021. https://scholarsarchive.byu.edu/etd/8979.

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This dissertation examines the role that culinary entrepreneurship communities of practice, using Lave and Wenger's Legitimate Peripheral Participation (LPP) model (Lave & Wenger, 1991), can lead to better social and economic inclusion for Middle Eastern Muslim refugee chefs in Utah. The life history approach was used to construct life histories for two Middle Eastern Muslim refugee chefs in Utah who joined the Spice Kitchen Incubator (SKI) program. SKI is a community of practice funded by the International Rescue Committee to assist refugee chefs in the resettlement process. This was an explo

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Sepp, Löfgren Nicholas. "Accelerating bulk material property prediction using machine learning potentials for molecular dynamics : predicting physical properties of bulk Aluminium and Silicon." Thesis, Linköpings universitet, Teoretisk Fysik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-179894.

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In this project machine learning (ML) interatomic potentials are trained and used in molecular dynamics (MD) simulations to predict the physical properties of total energy, mean squared displacement (MSD) and specific heat capacity for systems of bulk Aluminium and Silicon. The interatomic potentials investigated are potentials trained using the ML models kernel ridge regression (KRR) and moment tensor potentials (MTPs). The simulations using these ML potentials are then compared with results obtained from ab-initio simulations using the gold standard method of density functional theory (DFT),

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Petti, Amy Daggett. "Comprehensive School Reform Influence on Teacher Practice: Listening in the Classroom: An Examination of Powerful Learning Labs within the Accelerated Schools Project." PDXScholar, 2002. https://pdxscholar.library.pdx.edu/open_access_etds/614.

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Focusing on teacher learning, this study follows fifteen teachers in the crux of comprehensive school reform. These "regular" classroom teachers are the ubiquitous players of this theatre of school reform. "Regular" teacher is defined as a typical classroom teacher who is not actively involved in the district's school reform project or one who hasn't taken an active leadership role. The teachers in this study work in the challenging environment of a poor, diverse urban school district that was in its third year of a comprehensive school reform program, the Accelerated Schools Project. Fifteen

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Vaupel, Yannic [Verfasser], Alexander [Akademischer Betreuer] Mitsos, and Sergio [Akademischer Betreuer] Lucia. "Accelerating nonlinear model predictive control through machine learning with application to automotive waste heat recovery / Yannic Vaupel ; Alexander Mitsos, Sergio Lucia." Aachen : Universitätsbibliothek der RWTH Aachen, 2020. http://d-nb.info/1231738715/34.

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Barduhn, Susan. "Traits and conditions that accelerate teacher learning : a consideration of the four-week Cambridge RSA Certificate in English Language Teaching to Adults." Thesis, University of West London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262820.

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Fortes, Maria Auxiliadora Soares. "AceleraÃÃo da Aprendizagem - resultado de decisÃes curriculares no contexto escolar?" Universidade Federal do CearÃ, 2006. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=511.

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Conselho Nacional de Desenvolvimento CientÃfico e TecnolÃgico<br>Esse trabalho decorre da preocupaÃÃo com resultados de pesquisas, as quais indicam que, ainda hoje, a educaÃÃo de nÃvel fundamental continua um grave problema do ensino pÃblico brasileiro a ser solucionado. Nesse contexto, privilegiou-se as classes de aceleraÃÃo da aprendizagem, a qual compÃs o cenÃrio educacional cearense de 1998 a 2002, com forte apelo de inovaÃÃo pedagÃgica capaz de inserir os alunos âdefasadosâ no ensino dito regular. Desse modo, o presente estudo tem como objetivo central explicitar o sentido e o alcance que

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Lin, Hongzhou. "Algorithmes d'accélération générique pour les méthodes d'optimisation en apprentissage statistique." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAM069/document.

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Les problèmes d’optimisation apparaissent naturellement pendant l’entraine-ment de modèles d’apprentissage supervises. Un exemple typique est le problème deminimisation du risque empirique (ERM), qui vise a trouver un estimateur en mini-misant le risque sur un ensemble de données. Le principal défi consiste a concevoirdes algorithmes d’optimisation efficaces permettant de traiter un grand nombre dedonnées dans des espaces de grande dimension. Dans ce cadre, les méthodes classiques d’optimisation, telles que l’algorithme de descente de gradient et sa varianteaccélérée, sont couteux en termes de

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Barbosa, Raimundo José Pereira. "Análise da implementação do projeto avançar na coordenadoria distrital de educação 4 da secretaria estadual de educação do estado do Amazonas." Universidade Federal de Juiz de Fora, 2015. https://repositorio.ufjf.br/jspui/handle/ufjf/2195.

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Cyr-Mutty, Paul B. "Accelerating Experience| Using Learning Scenarios Based on Master Teacher Experiences and Specific School Contexts to Help Induct Novice Faculty into Teaching at an Independent Boarding School." Thesis, University of Pennsylvania, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10264630.

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<p> Many independent boarding schools have customarily hired significant numbers of novice faculty who are not certified teachers and who do not have significant teaching experience. Additionally, the time available to help such novice faculty learn about the many aspects of their jobs is quite limited. Therefore, the methods used to help novice faculty learn, while they already enacting their roles as educators, are important. As a result, this study examined the effectiveness of using school context based learning scenarios as a tool for teaching novice faculty at independent boarding school

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Lingala, Sajan Goud. "Novel adaptive reconstruction schemes for accelerated myocardial perfusion magnetic resonance imaging." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/5016.

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Coronary artery disease (CAD) is one of the leading causes of death in the world. In the United States alone, it is estimated that approximately every 25 seconds, a new CAD event will occur, and approximately every minute, someone will die of one. The detection of CAD during in its early stages is very critical to reduce the mortality rates. Magnetic resonance imaging of myocardial perfusion (MR-MPI) has been receiving significant attention over the last decade due to its ability to provide a unique view of the microcirculation blood flow in the myocardial tissue through the coronary vascular

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Karlsson, Johanna. "Identifying patterns in physiological parameters of expert and novice marksmen in simulation environment related to performance outcomes." Thesis, Linköpings universitet, Avdelningen för medicinsk teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139589.

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The goal of this thesis is to investigate if it is possible to use measurements of physiological parameters to accelerate learning of target shooting for novice marksmen in Saab’s Ground combat indoor trainer (GC-IDT). This was done through a literature study that identified brain activity, eye movements, heart activity, muscle activity and breathing as related to shooting technique. The sensors types Electroencephalography (EEG), Electroocculography (EOG), Electrocardiogram (ECG), Electromyography (EMG) and impedance pneumography (IP) were found to be suitable for measuring the respective par

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McCaw, Donna S. Davis-Lenski Susan Braun Joseph A. "Teaching reading using small flexible-skills grouping and whole classroom instruction a study of project : FIRST /." Normal, Ill. Illinois State University, 2001. http://wwwlib.umi.com/cr/ilstu/fullcit?p3006623.

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Thesis (Ed. D.)--Illinois State University, 2001.<br>Title from title page screen, viewed April 20, 2006. Dissertation Committee: Susan Davis-Lenski, Joseph Braun (co-chairs), Anthony Lorsbach. Includes bibliographical references (leaves 115-139) and abstract. Also available in print.

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Gruvstad, Kim, and Ebba Remes. "Särskilt begåvade elever i matematikklassrummet : Hur kan lärare upptäcka, stimulera och utmana särskilt begåvade elever i matematik?" Thesis, Linköpings universitet, Pedagogik och didaktik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152015.

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Syftet med den här litteraturstudien är att ta reda på hur lärare upptäcker särskilt begåvade elever i ämnet matematik samt hur de stöttar och stimulerar dessa elever på bästa sätt. Syftet är också att göra lärare och pedagoger uppmärksamma på de särskilt begåvade elevernas uttryckssätt och behov. För att få fram relevant litteratur till vår studie har vi använt oss av metoderna databassökning och manuell sökning. Databaserna som vi har använt är ERIC, UniSearch och Google Scholar. Resultatet visar att elever med särskild begåvning kan uttrycka sig på många olika sätt vilket kan göra dessa ele

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Barbosa, Tânia Maria Meneses Farias. "A implementação do Projeto Acelerar para Vencer (PAV) em uma unidade escolar: das intenções às ações." Universidade Federal de Juiz de Fora, 2013. https://repositorio.ufjf.br/jspui/handle/ufjf/1000.

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