Дисертації з теми "Modern learning theory"
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Rigtorp, Johan. "Organizational Learning Capability in a Modern Army." Thesis, Försvarshögskolan, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:fhs:diva-9159.
Повний текст джерелаLord, Mary E. "How a Learning Orientation, Modern Portfolio Theory and Absorptive Capacity Contribute to University Endowment Performance." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1333676043.
Повний текст джерелаSmith, Zena Diane. "Modern witchcraft in suburban Australia: how and what witches learn." Thesis, Curtin University, 2010. http://hdl.handle.net/20.500.11937/383.
Повний текст джерелаBarnes, Ann. "Student modern foreign languages teachers learning to teach : beliefs, attitudes and the development of a methodological landscape." Thesis, University of Warwick, 2003. http://wrap.warwick.ac.uk/1229/.
Повний текст джерелаHoogland, Anna. "När övningen blir meningsfull : En självobservationsstudie av instuderingsprocessen av en modern operaaria." Thesis, Karlstads universitet, Institutionen för konstnärliga studier (from 2013), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-67095.
Повний текст джерелаThe purpose of the present study is to examine my own learning process with a modern opera aria. The study is based on a design theoretical perspective on learning with focus on the concepts design, multimodality and semiotic resources. The process went on for three weeks during the autumn 2017 with a total of 14 practising sessions. To be able to document the learning process during these practising sessions, the methods video observation and logbook were used. The design of the learning process is described in the result by two different themes; Creatively unstructured and The endeavour to the overall experience. The result also shows that physical resources were used during the learning process to embody musical parameters, while material resources became a complement to the physical resources in a concrete way. In the last section, the result is discussed relative to a design theoretical perspective on learning and to previous research on practise and rehearsal methods. Some aspects are the meaning of a sounding example to listen to relative to the aspect of the overall experience, and the creatively unstructured learning process and its impact on the practice progression.
Yang, Wan Chi (Ada Yang). "The enlightened Chinese characters : a cognitive approach of computer assisted Chinese character learning." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/2428.
Повний текст джерелаWith continuing advances in technology, computer-assisted instruction provides opportunities for individualized, interactive learning. In the research paper, I employed the theoretical framework of CALL and the philosophy of cognitive psychhology to promote learner autonomy in the second language aquisition of Chinese...
Duwe, Astrid, and Durán Lisa Johansson. "Entreprenöriellt lärande i moderna språk : - möjligheter och hinder." Thesis, Högskolan i Halmstad, Sektionen för lärarutbildning (LUT), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-15722.
Повний текст джерелаThe new curriculum for primary education 2011 calls on all teachers in Swedish schools to strengthen an entrepreneurial attitude in students. According to the government's Strategy for entrepreneurship in education, entrepreneurship should permeate the whole school system. While some research has been done at secondary level and from a student perspective, relatively few studies have investigated the issue from a teachers' perspective and at primary level. The prerequisites for the introduction of entrepreneurial learning are somewhat unclear. An important condition is, however, that teachers are familiar with concepts such as entrepreneurship and entrepreneurial learning. This study aims to examine how teachers of modern languages perceive the concept of entrepreneurial learning, and what opportunities and obstacles they see to the application of entrepreneurial work in language teaching. By using qualitative interviews, the study investigates how seven teachers of modern languages with different experiences of the methods reason about enterprise learning in their subjects. The teachers find it important to help their students develop such characteristics as daring, the ability to take initiatives and turn their ideas into actions, but they also find themselves facing some difficulties in applying the new methods. An interesting outcome was that the teachers’ perceptions of their conditions are closely connected to their perceptions of and attitudes towards enterprise learning. The study shows that greater efforts and most importantly, more research and documented experience is needed in the field.
Sloan, Robert Hal. "Computational learning theory : new models and algorithms." Thesis, Massachusetts Institute of Technology, 1989. http://hdl.handle.net/1721.1/38339.
Повний текст джерелаIncludes bibliographical references (leaves 116-120).
by Robert Hal Sloan.
Ph.D.
Leo, Valentine. "Incorporating learning theory into existing systems engineering models." Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/37661.
Повний текст джерелаSystems engineering and learning theories are two major disciplines that involve preparing people to solve problems. While learning theories and their elements are apparent in the field of systems engineering, limited work has been performed on the interactions and relationship between these two disciplines. This thesis aims to establish and discuss a relationship between systems engineering and learning theories over the key phases of a systems life cycle. This thesis discusses how organizations can use the information attained from the collaborative approach between systems engineering and learning theories to leverage practitioners work quality, capability, and decisions to help justify and improve key systems parameters.
Gaus, Eric. "Macroeconomic models with endogenous learning." Thesis, University of Oregon, 2010. http://hdl.handle.net/1794/10868.
Повний текст джерелаThe behavior of the macroeconomy and monetary policy is heavily influenced by expectations. Recent research has explored how minor changes in expectation formation can change the stability properties of a model. One common way to alter expectation formation involves agents' use of econometrics to form forecasting equations. Agents update their forecasts based on new information that arises as the economy progresses through time. In this way agents "learn" about the economy. Previous learning literature mostly focuses on agents using a fixed data size or increasing the amount of data they use. My research explores how agents might endogenously change the amount of data they use to update their forecast equations. My first chapter explores how an established endogenous learning algorithm, proposed by Marcet and Nicolini, may influence monetary policy decisions. Under rational expectations (RE) determinacy serves as the main criterion for favoring a model or monetary policy rule. A determinant model need not result in stability under an alternative expectation formation process called learning. Researchers appeal to stability under learning as a criterion for monetary policy rule selection. This chapter provides a cautionary tale for policy makers and reinforces the importance of the role of expectations. Simulations appear stable for a prolonged interval of time but may suddenly deviate from the RE solution. This exotic behavior exhibits significantly higher volatility relative to RE yet over long simulations remains true to the RE equilibrium. In the second chapter I address the effectiveness of endogenous gain learning algorithms in the presence of occasional structural breaks. Marcet and Nicolini's algorithm relies on agents reacting to forecast errors. I propose an alternative, which relies on agents using statistical information. The third chapter uses standard macroeconomic data to find out whether a model that has non-rational expectations can outperform RE. I answer this question affirmatively and explore what learning means to the economy. In addition, I conduct a Monte Carlo exercise to investigate whether a simple learning model does, empirically, imbed an RE model. While theoretically a very small constant gain implies RE, empirically learning creates bias in coefficient estimates.
Committee in charge: George Evans, Co-Chairperson, Economics; Jeremy Piger, Co-Chairperson, Economics; Shankha Chakraborty, Member, Economics; Sergio Koreisha, Outside Member, Decision Sciences
Calderone, Carli E. "Stem Cell Research: Science Education and Outreach." Miami University Honors Theses / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=muhonors1268751337.
Повний текст джерелаZantedeschi, Valentina. "A Unified View of Local Learning : Theory and Algorithms for Enhancing Linear Models." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSES055/document.
Повний текст джерелаIn Machine Learning field, data characteristics usually vary over the space: the overall distribution might be multi-modal and contain non-linearities.In order to achieve good performance, the learning algorithm should then be able to capture and adapt to these changes. Even though linear models fail to describe complex distributions, they are renowned for their scalability, at training and at testing, to datasets big in terms of number of examples and of number of features. Several methods have been proposed to take advantage of the scalability and the simplicity of linear hypotheses to build models with great discriminatory capabilities. These methods empower linear models, in the sense that they enhance their expressive power through different techniques. This dissertation focuses on enhancing local learning approaches, a family of techniques that infers models by capturing the local characteristics of the space in which the observations are embedded. The founding assumption of these techniques is that the learned model should behave consistently on examples that are close, implying that its results should also change smoothly over the space. The locality can be defined on spatial criteria (e.g. closeness according to a selected metric) or other provided relations, such as the association to the same category of examples or a shared attribute. Local learning approaches are known to be effective in capturing complex distributions of the data, avoiding to resort to selecting a model specific for the task. However, state of the art techniques suffer from three major drawbacks: they easily memorize the training set, resulting in poor performance on unseen data; their predictions lack of smoothness in particular locations of the space;they scale poorly with the size of the datasets. The contributions of this dissertation investigate the aforementioned pitfalls in two directions: we propose to introduce side information in the problem formulation to enforce smoothness in prediction and attenuate the memorization phenomenon; we provide a new representation for the dataset which takes into account its local specificities and improves scalability. Thorough studies are conducted to highlight the effectiveness of the said contributions which confirmed the soundness of their intuitions. We empirically study the performance of the proposed methods both on toy and real tasks, in terms of accuracy and execution time, and compare it to state of the art results. We also analyze our approaches from a theoretical standpoint, by studying their computational and memory complexities and by deriving tight generalization bounds
Page-Shipp, R., and Niekerk C. Van. "Mental models in the learning and teaching of music theory concepts." Journal for New Generation Sciences, Vol 11, Issue 2: Central University of Technology, Free State, Bloemfontein, 2013. http://hdl.handle.net/11462/637.
Повний текст джерелаA retired physicist attempting to master elements of music theory in a short time found the Mental Model of the keyboard layout invaluable in overcoming some of the related learning challenges and this has been followed up in collaboration with a professor of Music Education. Possible cognitive mechanisms for his response are discussed and it is concluded that his engrained learning habits, which emphasise models as found in physics, are potentially of wider applicability. A survey of the use of Mental Models among competent young musicians indicated that although various models are widely used, this is largely subconscious. The practical question of whether exposure of students to the keyboard would assist them in mastering music theory remains unresolved.
Chen, Tao. "Search-based learning of latent tree models /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20CHEN.
Повний текст джерелаGhachem, Montasser. "Essays in Evolutionary Game Theory." Doctoral thesis, Stockholms universitet, Nationalekonomiska institutionen, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-132433.
Повний текст джерелаAt the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 2: Manuscript. Paper 3: Manuscript.
Słowiński, Witold. "Autonomous learning of domain models from probability distribution clusters." Thesis, University of Aberdeen, 2014. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=211059.
Повний текст джерелаYang, Ying. "Discretization for Naive-Bayes learning." Monash University, School of Computer Science and Software Engineering, 2003. http://arrow.monash.edu.au/hdl/1959.1/9393.
Повний текст джерелаPardos, Zachary Alexander. "Predictive Models of Student Learning." Digital WPI, 2012. https://digitalcommons.wpi.edu/etd-dissertations/185.
Повний текст джерелаShon, Aaron P. "Bayesian cognitive models for imitation /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/7013.
Повний текст джерелаSgroi, Daniel. "Theories of learning in economics." Thesis, University of Oxford, 2000. http://ora.ox.ac.uk/objects/uuid:b8d832af-57e7-45c2-a846-b69de3d25ec0.
Повний текст джерелаVan, der Merwe Rudolph. "Sigma-Point Kalman Filters for Probabilistic Inference in Dynamic State-Space Models." Full text open access at:, 2004. http://content.ohsu.edu/u?/etd,8.
Повний текст джерелаMacLellan, Christopher J. "Computational Models of Human Learning: Applications for Tutor Development, Behavior Prediction, and Theory Testing." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1054.
Повний текст джерелаÁlvarez, Robles Enrique Josué. "Supervised Learning models with ice hockey data." Thesis, Linköpings universitet, Statistik och maskininlärning, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167718.
Повний текст джерелаGrimes, David B. "Learning by imitation and exploration : Bayesian models and applications in humanoid robotics /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6879.
Повний текст джерелаVyroubalová, Ivana. "Moderní metody výuky Teorie obvodů." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2007. http://www.nusl.cz/ntk/nusl-412785.
Повний текст джерелаWenzelburger, Jan. "Learning in economic systems with expectations feedback." Berlin Heidelberg New York Springer, 2006. http://deposit.ddb.de/cgi-bin/dokserv?id=2668403&prov=M&dok_var=1&dok_ext=htm.
Повний текст джерелаLloyd, James Robert. "Representation, learning, description and criticism of probabilistic models with applications to networks, functions and relational data." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709264.
Повний текст джерелаBatista, Silvia Cristina Freitas. "M-learnmat : modelo pedagógico para atividades de m-learning em matemática." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2011. http://hdl.handle.net/10183/48916.
Повний текст джерелаM-learning (mobile learning) is a field of research that investigates how mobile devices can contribute to learning. This thesis presents M-learnMat, a pedagogical model for m-learning Math activities. This model, developed with support of the Activity Theory, aims at orienting educational practices that involve the use (non-exclusive) of mobile devices in graduation courses. The Activity Theory focuses on the activities developed by individuals and in the various relationships resulting from them. Thus, the model is distinctive as it comprises m-learning, Mathematics and the Activity Theory with the purpose of contributing to the organization, development and analysis of pedagogical activities. Besides the literature review, the development of M-learnMat included exploratory research and a pilot case study. These actions provided data that allowed for a better understanding of some issues related to the educational use of cell phones. For model experimentation, two case studies were carried with college level students. These took place in the first semester of 2011, in Calculus I, in which students used their cell phones. For data collection, a mixed methods research (quantitative and qualitative) was used due to the characteristics of the data. The experimentation indicated that M-learnMat has the potential to guide activities, and collaborate for their application according to defined strategies.
Al-Shehri, Abdullah Saeed. "Drawing on possible self theory to explore the influence of subjectivity on individual learning and employees' attitudes toward learning behaviours popularized by two learning organization models." Thesis, University of Leicester, 2018. http://hdl.handle.net/2381/42870.
Повний текст джерелаBhat, Sooraj. "Syntactic foundations for machine learning." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47700.
Повний текст джерелаWang, Siwen. "Orbital Level Understanding of Adsorbate-Surface Interactions in Metal Nanocatalysis." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/98923.
Повний текст джерелаDoctor of Philosophy
The interactions between reaction intermediates and catalysts should be neither too strong nor too weak for catalytic optimization. This Sabatiers principle arising from the scaling relations among the energetics of reacting species at geometrically similar sites, provides the conceptual basis for designing improved catalysts, but imposes volcano-type limitations on the attainable catalytic activity and selectivity. One of the greatest challenges faced by the catalysis community today is how to develop design strategies and ultimately predictive models of catalytic systems that could circumvent energy scaling relations. This work brings the quantum-chemical modeling and machine learning technique together and develops a novel stochastic modeling approach to rationally design the catalysts with desired properties and bridges our knowledge gap between the empirical kinetics and atomistic mechanisms of catalytic reactions.
Ilisei, Iustina-Narcisa. "A machine learning approach to the identification of translational language : an inquiry into translationese learning models." Thesis, University of Wolverhampton, 2012. http://hdl.handle.net/2436/299371.
Повний текст джерелаKidd, Kirsty. "A comparative analysis of Purkinje cells across species combining modelling, machine learning and information theory." Thesis, University of Hertfordshire, 2017. http://hdl.handle.net/2299/21078.
Повний текст джерелаBoyle, Joseph Edward. "Becoming Vegetarian: An Analysis of the Vegetarian Career Using an Integrated Model of Deviance." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/27476.
Повний текст джерелаPh. D.
Saers, Markus. "Translation as Linear Transduction : Models and Algorithms for Efficient Learning in Statistical Machine Translation." Doctoral thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-135704.
Повний текст джерелаWang, Ni. "Statistical Learning in Logistics and Manufacturing Systems." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/11457.
Повний текст джерелаMyers, James William. "Stochastic algorithms for learning with incomplete data an application to Bayesian networks /." Full text available online (restricted access), 1999. http://images.lib.monash.edu.au/ts/theses/Myers.pdf.
Повний текст джерелаWhalen, Andrew. "Computational, experimental, and statistical analyses of social learning in humans and animals." Thesis, University of St Andrews, 2016. http://hdl.handle.net/10023/8822.
Повний текст джерелаLiu, Chong. "Reinforcement learning with time perception." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/reinforcement-learning-with-time-perception(a03580bd-2dd6-4172-a061-90e8ac3022b8).html.
Повний текст джерелаGu, Tianyu. "Shelang : An Implementation of Probabilistic Programming Language and its Applications." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-26016.
Повний текст джерелаFuglesang, Rutger. "Particle-Based Online Bayesian Learning of Static Parameters with Application to Mixture Models." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279847.
Повний текст джерелаDetta examensarbete undersöker möjligheten att använda Sekventiella Monte Carlo metoder (SMC) för att utveckla en algoritm med syfte att utvinna parametrar i realtid givet en okänd modell. Då statistisk slutledning från dataströmmar medför svårigheter, särskilt i parameter-modeller, kommer arbetets fokus ligga i utvecklandet av en Monte Carlo algoritm vars uppgift är att sekvensiellt nyttja modellens posteriori fördelningar. Resultatet är att okända, statistiska parametrar kommer att förflyttas mot det krympande stödet av posterioren med hjälp utav en artificiell Markov dynamik, vilket tillåter en korrekt pseudo-marginalisering utav mål-distributionen. Algoritmen kommer sedan att testas på en enkel Gaussisk-modell, en Gaussisk mixturmodell (GMM) och till sist en GMM vars dimension är okänd. Kodningen i detta projekt har utförts i Matlab.
Forster, Julia. "Bridging the gap : using therapeutic models of psychology to develop Further Education teachers' strategies for promoting a culture of learning." Thesis, University of Southampton, 2013. https://eprints.soton.ac.uk/362043/.
Повний текст джерелаCai, Zhiyuan. "Global Mohorovicic Discontinuity Estimates Based on Isostatic Theories Using Gravity Data and Seismic Models." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu159455139426099.
Повний текст джерелаHu, Xu. "Towards efficient learning of graphical models and neural networks with variational techniques." Thesis, Paris Est, 2019. http://www.theses.fr/2019PESC1037.
Повний текст джерелаIn this thesis, I will mainly focus on variational inference and probabilistic models. In particular, I will cover several projects I have been working on during my PhD about improving the efficiency of AI/ML systems with variational techniques. The thesis consists of two parts. In the first part, the computational efficiency of probabilistic graphical models is studied. In the second part, several problems of learning deep neural networks are investigated, which are related to either energy efficiency or sample efficiency
Rumantir, Grace Widjaja. "Minimum message length criterion for second-order polynomial model selection applied to tropical cyclone intensity forecasting." Monash University, School of Computer Science and Software Engineering, 2003. http://arrow.monash.edu.au/hdl/1959.1/5813.
Повний текст джерелаCarstensen, Anna-Karin. "Connect : Modelling Learning to Facilitate Linking Models and the Real World trough Lab-Work in Electric Circuit Courses for Engineering Students." Doctoral thesis, Linköpings universitet, Fysik och elektroteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-97395.
Повний текст джерелаEn stående fråga som lärare i naturvetenskapliga och tekniska utbildningar ställer är varför elever och studenter inte kopplar samman kunskaper från teoretiska kursmoment med den verklighet som möts vid laborationerna. Ett vanligt syfte med laborationer är att åstadkomma länkar mellan teori och verklighet, men dessa uteblir ofta. Många gånger används avancerade matematiska modeller och grafiska representationer, vilka studenterna lärt sig i tidigare kurser, men de har sällan eller aldrig tillämpat dessa kunskaper i andra ämnen. En av dessa matematiska hjälpmedel är Laplacetransformen, som främst används för att lösa differentialekvationer, och åskådliggöra transienta förlopp i ellära eller reglerteknik. På många universitet anses Laplacetransformen numera för svår för studenterna på kortare ingenjörsutbildningar, och kurser eller kursmoment som kräver denna har strukits ut utbildningsplanerna. Men, är det för svårt, eller beror det bara på hur man presenterar Laplacetransformen? Genom att låta studenterna arbeta parallellt med matematiken och de laborativa momenten, under kombinerade lab-lektionspass, och inte vid separata lektioner och laborationer, samt genom att variera övningsexemplen på ett mycket systematiskt sätt, enligt variationsteorin, visar vår forskning att studenterna arbetar med uppgifterna på ett helt annat sätt än tidigare. Det visar sig inte längre vara omöjligt att tillämpa Laplacetransformen redan under första året på civilingenjörsutbildning inom elektroteknik. Ursprungliga syftet med avhandlingen var att visa hur studenter arbetar med laborationsuppgifter, speciellt i relation till målet att länka samman teori och verklighet hur man kan förändra studenternas aktivitet, och därmed studenternas lärande, genom att förändra laborationsinstruktionen på ett systematiskt sätt. Under våren 2002 videofilmades studenter som utförde laborationer i en kurs i elkretsteori. Deras aktivitet analyserades. Speciellt studerades vilka frågor studenterna ställde till lärarna, på vilket sätt dessa frågor besvarades, och på vilket sätt svaren användes i den fortsatta aktiviteten. Detta ledde fram till en modell för lärande av sammansatta begrepp, som kunde användas både för att analysera vad studenterna gör och vad lärarna förväntar sig att studenterna ska lära sig. Med hjälp av modellen blev det då möjligt att se vad som behövde ändra i instruktionerna för att studenterna lättare skulle kunna utföra de aktiviteter som krävs för att länka teori och verklighet. Syftet med avhandlingen är därmed att ta fram en modell för lärande av ett sammansatt begrepp visa hur denna modell kan användas för såväl analys av önskat lärandeobjekt, som av studenternas aktivitet under laborationer, och därmed det upplevda lärandeobjektet använda modellen för att analysera vilka förändringar som är kritiska för studenters lärande. Modellen användes för att förändra laborationsinstruktionerna. Lärarinterventionerna inkluderades i instruktionerna på ett systematiskt sätt utifrån dels vilka frågor som ställdes av studenterna, dels vilka frågor studenterna inte noterade, men som lärarna velat att studenterna skulle använda för att skapa relationer framför allt mellan teoretiska aspekter och mätresultat. Dessutom integrerades räkneövningar och laborationer. Videoinspelningar utfördes även våren 2003, då de nya instruktionerna användes. Även dessa analyserades med avseende på studenternas aktiviteter. Skillnader mellan resultaten från 2002 och 2003 står i fokus. Avhandlingens resultatdel består av: Analys av studenternas frågor och lärarnas svar under labkursen 2002 Analys av de länkar studenterna behöver skapa för att lära Analys av laborationsinstruktionerna före och efter förändringarna Analys av den laborationsaktivitet som blev resultatet av de nya instruktionerna, och vilket lärande som då blev möjligt Avhandlingen avlutas med en diskussion om de slutsatser som kan dras angående möjligheter att via forskning utveckla modeller av undervisningssekvenser för lärande där målet är att länka samman teori och verklighet
Wenestam, Arvid. "Labelling factual information in legal cases using fine-tuned BERT models." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447230.
Повний текст джерелаMalvezzi, William Roberto. "Uma ferramenta baseada em teoria Fuzzy para o acompanhamento de alunos aplicado ao modelo de educação presencial mediado por tecnologia." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-21102010-162728/.
Повний текст джерелаThis study has developed a solution that assists in obtaining a monitoring and evaluation of student learning in courses of the face mediated system offered by the University of the State of Amazonas (UEA), allowing both teachers and the coordination of educational courses can to make pedagogical methodology decisions aiming at the good performance of the teacher in discipline and a positive use of students. Fuzzy theory was the model adopted due to vagueness of the information from the learning environment. The collected data have two distinct sources, one originates in the value of judgments assigned to the activities performed in the virtual learning environment called TADS (Technology Assessment and Systems Development) Virtual, and the other source is the written evaluation performed at the end of each week by students enrolled in the course.
Söderdahl, Fabian. "A Cross-Validation Approach to Knowledge Transfer for SVM Models in the Learning Using Privileged Information Paradigm." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385378.
Повний текст джерелаDamour, Gabriel. "Information-Theoretic Framework for Network Anomaly Detection: Enabling online application of statistical learning models to high-speed traffic." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252560.
Повний текст джерелаI takt med att antalet cyberattacker växer snabbt blir det alltmer viktigt för våra digitaliserade ekonomier att skydda uppkopplade verksamheter från nätverksintrång. Maskininlärning (ML) porträtteras som ett kraftfullt alternativ till konventionella regelbaserade lösningar och dess anmärkningsvärda framgångar bådar för en ny generation detekteringssytem mot intrång (IDS). Trots denna utveckling, bygger många IDS:er fortfarande på signaturbaserade metoder, vilket förklaras av de stora svagheter som präglar många ML-baserade lösningar. I detta arbete utgår vi från en granskning av nuvarande forskning kring tillämpningen av ML för intrångsdetektering, med fokus på de nödvändiga steg som omger modellernas implementation inom IDS. Genom att sätta upp ett ramverk för hur variabler konstrueras och identifiering av attackkällor (ASI) utförs i olika lösningar, kan vi identifiera de flaskhalsar och begränsningar som förhindrar deras praktiska implementation. Särskild vikt läggs vid analysen av de populära flödesbaserade modellerna, vars resurskrävande bearbetning av rådata leder till signifikant tidsfördröjning, vilket omöjliggör deras användning i realtidssystem. För att bemöta dessa svagheter föreslår vi ett nytt ramverk -- det informationsteoretiska ramverket för detektering av nätverksanomalier (ITF-NAD) -- vars syfte är att möjliggöra direktanslutning av ML-modeller över nätverkslänkar med höghastighetstrafik, samt tillhandahåller en metod för identifiering av de bakomliggande källorna till attacken. Ramverket bygger på modern entropiestimeringsteknik, designad för att tillämpas över dataströmmar, samt en ASI-metod inspirerad av entropibaserad detektering av avvikande punkter i kategoriska rum. Utöver detta presenteras en studie av ramverkets prestanda över verklig internettrafik, vilken innehåller 5 olika typer av överbelastningsattacker (DoS) genererad från populära DDoS-verktyg, vilket i sin tur illustrerar ramverkets användning med en enkel semi-övervakad ML-modell. Resultaten visar på hög nivå av noggrannhet för detektion av samtliga attacktyper samt lovande prestanda gällande ramverkets förmåga att identifiera de bakomliggande aktörerna.