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Dissertations / Theses on the topic 'Online algorithm with advice'

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Published: 25 May 2024

Last updated: 31 July 2025

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1

Renault, Marc Paul. "Lower and upper bounds for online algorithms with advice." Paris 7, 2014. http://www.theses.fr/2014PA077196.

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Les algorithmes en ligne fonctionnent dans un contexte où l'entrée est révélé au fur et à mesure du temps; chaque morceau révélé est appelé une demande. Après réception de chaque demahde, les algorithmes en ligne doivent prendre une action avant que la prochaine demande soit révélée, c'est-à-dire que les algorithmes en ligne doivent prendre une décision irrévocable basée sur les demandes déjà révélées sans aucune connaissance des demandes à venir. Le but est d'optimiser une fonction de coût dépendante de l'entrée. L'analyse compétitive est la méthode standard utilisée pour analyser la qualité

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Jin, Shendan. "Online computation beyond standard models." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS152.

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Dans le cadre standard du calcul en ligne, l’entrée de l’algorithme n’est pas entièrement connue à l’avance, mais elle est révélée progressivement sous forme d’une séquence de requêtes. Chaque fois qu'une requête arrive, l'algorithme en ligne doit prendre des décisions irrévocables pour servir la demande, sans connaissance des requêtes futures. Dans le domaine des algorithmes en ligne, le cadre standard utilisé pour évaluer les performances des algorithmes en ligne est l’analyse compétitive. De manière informelle, le concept d’analyse compétitive consiste à comparer les performances d’un algor

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Cayuela, Rafols Marc. "Algorithmic Study on Prediction with Expert Advice : Study of 3 novel paradigms with Grouped Experts." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254344.

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The main work for this thesis has been a thorough study of the novel Prediction with Partially Monitored Grouped Expert Advice and Side Information paradigm. This is newly proposed in this thesis, and it extends the widely studied Prediction with Expert Advice paradigm. The extension is based on two assumptions and one restriction that modify the original problem. The first assumption, Grouped, presumes that the experts are structured into groups. The second assumption, Side Information, introduces additional information that can be used to timely relate predictions with groups. Finally, the r

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Henke, Hans-Christian. "Online Advice : Konzeption eines ergebnisbasierten Simulationsansatzes /." [S.l. : s.n.], 2003. http://www.gbv.de/dms/zbw/362397171.pdf.

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5

Furkin, Jennifer D. "MOM TO MOM: ONLINE BREASTFEEDING ADVICE." UKnowledge, 2018. https://uknowledge.uky.edu/comm_etds/64.

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Exploring online support groups has gained more and more popularity in the last decade. Investigating the type of support messages users send each other has broadened the already extensive social support framework built in the last forty years. Mothers utilize online support for various topics, and a very common topic is breastfeeding. The perception of breastfeeding has changed throughout history with shifting beliefs and societal norms coupled with solid facts about its importance in the sustaining of infants. Online breastfeeding support has been previously explored through the categorizati

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Porter, Noriko. "Japanese and U. S. mother's concerns and experts' advice content analysis of mothers' questions on online message boards and experts' advice in parenting magazines /." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5517.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2008.<br>The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on June 15, 2009) Vita. Includes bibliographical references.

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7

Fowler-Dawson, Amy E. "Expand your online reach with these 10 social media tips from the pros: An analysis of online social networking advice." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/2047.

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Researchers have suggested that social networking sites are especially suited to creating a two-way communication with audiences as described by Kent & Taylor’s dialogic communication theory. However, researchers have also shown that most organizations are failing to actually create this type of dialogue with their followers on SNS. This leads to the question: why are organizations failing to realize this potential? In this study, I consider one possible reason: that organizations are following advice offered online by self-appointed “experts” on SNS strategy and that advice is not effective.

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8

Barbaro, Billy. "Tuning Hyperparameters for Online Learning." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1522419008006144.

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9

Murphy, Nicholas John. "An online learning algorithm for technical trading." Master's thesis, Faculty of Science, 2019. http://hdl.handle.net/11427/31048.

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We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cost portfolio strategies. The learning algorithm is used to determine the relative population dynamics of technical trading strategies that can survive historical back-testing as well as form an overall aggregated portfolio trading strategy from the set of underlying trading strategies implemented on daily and intraday Johannesburg Stock Exchange data. The resulting population time-series are investigated using unsupervised learning for dimensionality reduction

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Orlansky, Emily. "Beauty is in the mouth of the beholder advice networks at Haverford College /." Diss., Connect to the thesis, 2009. http://hdl.handle.net/10066/3707.

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11

Hiller, Benjamin [Verfasser]. "Online Optimization: Probabilistic Analysis and Algorithm Engineering / Benjamin Hiller." München : Verlag Dr. Hut, 2012. http://d-nb.info/1025821319/34.

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Laflamme, Simon M. Eng Massachusetts Institute of Technology. "Online learning algorithm for structural control using magnetorheological actuators." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/39271.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2007.<br>Includes bibliographical references (p. 83-84).<br>Magnetorheological actuators are promising devices for mitigating vibrations because they only require a fraction of energy for a similar performance to active control. Conversely, these semi-active devices have limited maximum forces and are hard to model due to the rheological properties of their fluid. When considering structural control, classical theories necessitate full knowledge of the structural dynamic states and properties

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13

Bozorgmehr, Pouya. "An efficient online feature extraction algorithm for neural networks." Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p1470604.

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Thesis (M.S.)--University of California, San Diego, 2009.<br>Title from first page of PDF file (viewed January 13, 2010). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 61-63).

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Vitiello, Thomas. "Peeking on the campaign : online Voting Advice Applications : challenges and prospects for electoral studies in the digital era." Thesis, Paris, Institut d'études politiques, 2018. http://www.theses.fr/2018IEPP0001/document.

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Les Systèmes d’Aide au Vote (SAV) comparent, sur des enjeux variés, les positions des utilisateurs avec celles des partis ou des candidats qui sont établies à partir d’une analyse de contenu de leur programme électoral. Les SAV sont un outil d’analyse novateur à usage des politistes puisqu’ils leur permettent de récolter des données empiriques à grande échelle tout au long d’une campagne électorale. L'objectif principal de cette thèse est d'utiliser les données collectées par les SAV afin d’analyser la diffusion d’un site Web à caractère informatif et politique, i.e. les SAV, auprès des intern

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Kaplunovich, Petr A. (Petr Alexandrovich). "Efficient algorithm for online N - 2 power grid contingency selection." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/88388.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 55-57).<br>Multiple element outages (N - k contingencies) have caused some of the most massive blackouts and disturbances in the power grid. Such outages affect millions of people and cost the world economy billions of dollars annually. The impact of the N - k contingencies is anticipated to grow as the electrical power grid becomes increasingly more loaded. As the result power system operators face the need for

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Zhang, Xiaoyu. "Effective Search in Online Knowledge Communities: A Genetic Algorithm Approach." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/35059.

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Online Knowledge Communities, also known as online forum, are popular web-based tools that allow members to seek and share knowledge. Documents to answer varieties of questions are associated with the process of knowledge exchange. The social network of members in an Online Knowledge Community is an important factor to improve search precision. However, prior ranking functions donâ t handle this kind of document with using this information. In this study, we try to resolve the problem of finding authoritative documents for a user query within an Online Knowledge Community. Unlike prior rankin

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Lövgren, Tobias. "Kostråd på internet : En tvärsnittsstudie bland unga vuxna." Thesis, Högskolan i Gävle, Avdelningen för arbets- och folkhälsovetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-19706.

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Aim The study aims were to identify young adults’ sources of nutritional advice on the Internet and how they perceive the credibility of these. The study also aimed at exploring young adults' knowledge of national recommendations issued by the National Food Agency. Method A web-based survey was distributed on the social media platform Facebook. The questionnaire contained a total of 14 questions regarding online nutritional advice and its credibility. Finally, it requested the respondent's knowledge and credibility of the national nutritional recommendations. The survey quickly gained a large

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Witney, Cynthia Ann. "Just a “Click” away from evidence-based online breast cancer information, advice and support provided by a specialist nurse: An ethnonetnographic study." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1679.

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Breast cancer has had, and will continue to have, a devastating impact on the lives of many Australian women, their families, friends and the wider community. The concomitant treatment of this disease places a considerable burden on the health care system and the supporters of the person diagnosed with this disease. While there are many government and non-government organisations that provide treatment and support services for the person with breast cancer, these services are usually provided in person either in the home or at the organisation’s offices. This study extended the information adv

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19

Gagliolo, Matteo. "Online Dynamic Algorithm Portfolios: Minimizing the computational cost of problem solving." Doctoral thesis, Università della Svizzera italiana, Lugano, Switzerland, 2010. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/250787.

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This thesis presents methods for minimizing the computational effort of problem solving. Rather than looking at a particular algorithm, we consider the issue of computational complexity at a higher level, and propose techniques that, given a set of candidate algorithms, of unknown performance, learn to use these algorithms while solving a sequence of problem instances, with the aim of solving all instances in a minimum time. An analogous meta-level approach to problem solving has been adopted in many different fields, with different aims and terminology. A widely accepted term to describe it i

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Jankovic, Anja. "Towards Online Landscape-Aware Algorithm Selection in Numerical Black-Box Optimization." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS302.

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Les algorithmes d'optimisation de boîte noire (BBOA) sont conçus pour des scénarios où les formulations exactes de problèmes sont inexistantes, inaccessibles, ou trop complexes pour la résolution analytique. Les BBOA sont le seul moyen de trouver une bonne solution à un tel problème. En raison de leur applicabilité générale, les BBOA présentent des comportements différents lors de l'optimisation de différents types de problèmes. Cela donne un problème de méta-optimisation consistant à choisir l'algorithme le mieux adapté à un problème particulier, appelé problème de sélection d'algorithmes (AS

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21

Alon, Alexander Joel Dacara. "The AlgoViz Project: Building an Algorithm Visualization Web Community." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/34246.

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Algorithm visualizations (AVs) have become a popular teaching aid in classes on algorithms and data structures. The AlgoViz Project attempts to provide an online venue for educators, students, developers,researchers, and other AV users. The Project is comprised of two websites. The first, the AlgoViz Portal, provides two major informational resources: an AV catalog that provides both descriptive and evaluative metadata of indexed visualizations, and an annotated bibliography of research literature. Both resources have over 500 entries and are actively updated by the AV community. The Portal al

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Goemans, Michel X., Maurice Queyranne, Andreas S. Schulz, Martin Skutella, and Yaoguang Wang. "Single Machine Scheduling with Release Dates." Massachusetts Institute of Technology, Operations Research Center, 1999. http://hdl.handle.net/1721.1/5211.

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We consider the scheduling problem of minimizing the average weighted completion time of n jobs with release dates on a single machine. We first study two linear programming relaxations of the problem, one based on a time-indexed formulation, the other on a completiontime formulation. We show their equivalence by proving that a O(n log n) greedy algorithm leads to optimal solutions to both relaxations. The proof relies on the notion of mean busy times of jobs, a concept which enhances our understanding of these LP relaxations. Based on the greedy solution, we describe two simple randomized app

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Boccalini, Gabriele. "An optical sensor for online hematocrit measurement: characterization and fitting algorithm development." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6932/.

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Lo scopo del presente lavoro di tesi riguarda la caratterizzazione di un sensore ottico per la lettura di ematocrito e lo sviluppo dell’algoritmo di calibrazione del dispositivo. In altre parole, utilizzando dati ottenuti da una sessione di calibrazione opportunamente pianificata, l’algoritmo sviluppato ha lo scopo di restituire la curva di interpolazione dei dati che caratterizza il trasduttore. I passi principali del lavoro di tesi svolto sono sintetizzati nei punti seguenti: 1) Pianificazione della sessione di calibrazione necessaria per la raccolta dati e conseguente costruzione di un mo

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Zubeir, Abdulghani Ismail. "OAP: An efficient online principal component analysis algorithm for streaming EEG data." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392403.

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Data processing on streaming data poses computational as well as statistical challenges. Streaming data requires that data processing algorithms are able to process a new data point within micro-seconds. This is especially challenging on dimension reduction, where traditional methods as Principal Component Analysis (PCA) require eigenvectors decomposition of a matrix based on the complete dataset. So a proper online version of PCA should avoid this computational involved step in favor for a more efficient update rule. This is implemented by an algorithm named Online Angle Preservation (OAP), w

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Knight, Melissa. "Accelerated Online and Hybrid RN-to-BSN Programs: A Predictive Retention Algorithm." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6345.

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Predicting retention and time to graduation within accelerated online and a hybrid RN-to-BSN programs are significant elements in leveraging the pipeline of qualified RNs with BSN degrees, but the literature lacks significant accounts of retention and time to graduation outcomes within these programs and predictive algorithm developments to offset high attrition rates. The purpose of this study was to quantitatively examine the relationships between pre-entry attributes, academic integration, and institutional characteristics on retention and time to graduation within accelerated online RN-to-

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Stummer, Gudrun. "A reflexive action research project to investigate the development of an educational public health website with an integrated online advice service." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500798.

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Vlasenko, Anton. "Developing and Evaluating Web Marking Tools as a Complementary Service for Medical Telephone-Based Advice-Giving." Thesis, Linnéuniversitetet, Institutionen för medieteknik (ME), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-69498.

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This master thesis reports on potentially useful applications for “The social layer concept”, consisting of a combination of telephone-based health advice-giving and dynamic marking of shared web pages, with the aim to contribute to the online health counselling domain. An experimental user study was performed to test a web marking tool prototype. The experimental tool was shown to be useful in helping clients focus on relevant health information and dynamic web marking does provide a useful and complementary service to telephone-based advice-giving. It was considered most useful for complex h

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Farghally, Mohammed Fawzi Seddik. "Visualizing Algorithm Analysis Topics." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/73539.

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Data Structures and Algorithms (DSA) courses are critical for any computer science curriculum. DSA courses emphasize concepts related to procedural dynamics and Algorithm Analysis (AA). These concepts are hard for students to grasp when conveyed using traditional textbook material relying on text and static images. Algorithm Visualizations (AVs) emerged as a technique for conveying DSA concepts using interactive visual representations. Historically, AVs have dealt with portraying algorithm dynamics, and the AV developer community has decades of successful experience with this. But there exist

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Deane, Jason. "Scheduling online advertisements using information retrieval and neural network/genetic algorithm based metaheuristics." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0015400.

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Provatas, Spyridon. "An Online Machine Learning Algorithm for Heat Load Forecasting in District Heating Systems." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3475.

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Context. Heat load forecasting is an important part of district heating optimization. In particular, energy companies aim at minimizing peak boiler usage, optimizing combined heat and power generation and planning base production. To achieve resource efficiency, the energy companies need to estimate how much energy is required to satisfy the market demand. Objectives. We suggest an online machine learning algorithm for heat load forecasting. Online algorithms are increasingly used due to their computational efficiency and their ability to handle changes of the predictive target variable over t

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Kamath, Akash S. "An efficient algorithm for caching online analytical processing objects in a distributed environment." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174678903.

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Withum, David Grant. "Serological testing algorithm for recent HIV 1 seroconversion (STARHS) : standardisation and online application." Thesis, King's College London (University of London), 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249615.

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Stark, Annegret, and Fritz Hoffmann. "Online-Vorbereitungskurse Mathematik und Physik: Fachlich gut gewappnet ins Studium starten." TUDpress, 2020. https://tud.qucosa.de/id/qucosa%3A74306.

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Eine große Anzahl der fach- und lehramtsbezogenen Studienangebote der TU Dresden baut auf Grundlagenwissen in naturwissenschaftlichen Fächern auf, das zu Studienbeginn auf Abiturniveau vorausgesetzt wird. Rückmeldungen der Lehrenden wie auch der Studierenden zeigen allerdings, dass es eine Diskrepanz zwischen den in der Schule vermittelten und den zu Studienbeginn erwarteten Kenntnissen gibt. Das spiegelt sich auch in den Abbruchgründen wider: Durchschnittlich 30 Prozent der Studienabbrecherinnen und -abbrecher scheitern an hohen Studienanforderungen bzw. fehlenden fachlichen Voraussetzungen f

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Nayyar, Krati. "Input Sensitive Analysis of a Minimum Metric Bipartite Matching Algorithm." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/86518.

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In various business and military settings, there is an expectation of on-demand delivery of supplies and services. Typically, several delivery vehicles (also called servers) carry these supplies. Requests arrive one at a time and when a request arrives, a server is assigned to this request at a cost that is proportional to the distance between the server and the request. Bad assignments will not only lead to larger costs but will also create bottlenecks by increasing delivery time. There is, therefore, a need to design decision-making algorithms that produce cost-effective assignments of serve

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Kuß, Julia, Anja Abdel-Haq, Anne Jacob, and Theresia Zimmermann. "Entwicklung von Online-Self-Assessments für Studiengänge der Ingenieurwissenschaften an der TU Dresden." TUDpress, 2020. https://tud.qucosa.de/id/qucosa%3A74310.

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Ein Online-Self-Assessment (OSA) für Studieninteressierte ist ein webbasierter Selbsteinschätzungstest, der künftigen Studierenden eine realistische Selbsteinschätzung und eine darauf aufbauende, fundierte Studienwahl ermöglichen soll. Solch ein Test umfasst Aufgaben und Fragen (sogenannte Items), die von den Studieninteressierten selbstständig bearbeitet werden. Das Feedback auf den bearbeiteten Test unterstützt die Studieninteressierten bei ihrer Studienwahl, indem sie eine Einschätzung zu ihren orhandenen Kompetenzen, Fähigkeiten, Interessen und Erwartungen bezogen auf die tatsächlichen Anf

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Chen, Jian. "Maintaining Stream Data Distribution Over Sliding Window." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-35321.

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In modern applications, it is a big challenge that analyzing the order statistics about the most recent parts of the high-volume and high velocity stream data. There are some online quantile algorithms that can keep the sketch of the data in the sliding window and they can answer the quantile or rank query in a very short time. But most of them take the GK algorithm as the subroutine, which is not known to be mergeable. In this paper, we propose another algorithm to keep the sketch that maintains the order statistics over sliding windows. For the fixed-size window, the existing algorithms can’

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Wedenberg, Kim, and Alexander Sjöberg. "Online inference of topics : Implementation of the topic model Latent Dirichlet Allocation using an online variational bayes inference algorithm to sort news articles." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-222429.

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The client of the project has problems with complex queries and noisewhen querying their stream of ﬁve million news articles per day. Thisresults in much manual work when sorting and pruning the search result of their query. Instead of using direct text matching, the approachof the project was to use a topic model to describe articles in terms oftopics covered and to use this new information to sort the articles. An online version of the topic model Latent Dirichlet Allocationwas implemented using online variational Bayes inference to handlestreamed data. Using 100 dimensions, topics such as s

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Jaradat, Shatha. "OLLDA: Dynamic and Scalable Topic Modelling for Twitter : AN ONLINE SUPERVISED LATENT DIRICHLET ALLOCATION ALGORITHM." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177535.

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Providing high quality of topics inference in today's large and dynamic corpora, such as Twitter, is a challenging task. This is especially challenging taking into account that the content in this environment contains short texts and many abbreviations. This project proposes an improvement of a popular online topics modelling algorithm for Latent Dirichlet Allocation (LDA), by incorporating supervision to make it suitable for Twitter context. This improvement is motivated by the need for a single algorithm that achieves both objectives: analyzing huge amounts of documents, including new docume

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Breakiron, Daniel Aubrey. "Evaluating the Integration of Online, Interactive Tutorials into a Data Structures and Algorithms Course." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23107.

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OpenDSA is a collection of open source tutorials for teaching data structures and algorithms. It was created with the goals of visualizing complex, abstract topics; increasing the amount of practice material available to students; and providing immediate feedback and incremental assessment. In this thesis, I first describe aspects of the OpenDSA architecture relevant to collecting user interaction data. I then present an analysis of the interaction log data gathered from three classes during Spring 2013. The analysis focuses on determining the time distribution of student activity, determining

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Kunwar, Rituraj. "Incremental / Online Learning and its Application to Handwritten Character Recognition." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/366964.

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In real world scenarios where we use machine learning algorithms, we often have to deal with cases where input data changes its nature with time. In order to maintain the accuracy of the learning algorithm, we frequently have to retrain our learning system, thereby making the system inconvenient and unreliable. This problem can be solved by using learning algorithms which can learn continuously with time (incremental/ online learning). Another common problem of real-world learning scenarios that we often have to deal with is acquiring large amounts of data which is expensive and time consuming

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Harrington, Edward, and edwardharrington@homemail com au. "Aspects of Online Learning." The Australian National University. Research School of Information Sciences and Engineering, 2004. http://thesis.anu.edu.au./public/adt-ANU20060328.160810.

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Online learning algorithms have several key advantages compared to their batch learning algorithm counterparts: they are generally more memory efficient, and computationally mor efficient; they are simpler to implement; and they are able to adapt to changes where the learning model is time varying. Online algorithms because of their simplicity are very appealing to practitioners. his thesis investigates several online learning algorithms and their application. The thesis has an underlying theme of the idea of combining several simple algorithms to give better performance. In this thesis we inv

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Luo, Lingzhi. "Distributed Algorithm Design for Constrained Multi-robot Task Assignment." Research Showcase @ CMU, 2014. http://repository.cmu.edu/dissertations/426.

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The task assignment problem is one of the fundamental combinatorial optimization problems. It has been extensively studied in operation research, management science, computer science and robotics. Task assignment problems arise in various applications of multi-robot systems (MRS), such as environmental monitoring, disaster response, extraterrestrial exploration, sensing data collection and collaborative autonomous manufacturing. In these MRS applications, there are realistic constraints on robots and tasks that must be taken into account both from the modeling perspective and the algorithmic p

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Alim, Sophia. "Vulnerability in online social network profiles : a framework for measuring consequences of information disclosure in online social networks." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5507.

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The increase in online social network (OSN) usage has led to personal details known as attributes being readily displayed in OSN profiles. This can lead to the profile owners being vulnerable to privacy and social engineering attacks which include identity theft, stalking and re identification by linking. Due to a need to address privacy in OSNs, this thesis presents a framework to quantify the vulnerability of a user's OSN profile. Vulnerability is defined as the likelihood that the personal details displayed on an OSN profile will spread due to the actions of the profile owner and their frie

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Mahajan, Rutvij Sanjay. "Empirical Analysis of Algorithms for the k-Server and Online Bipartite Matching Problems." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/96725.

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The k–server problem is of significant importance to the theoretical computer science and the operations research community. In this problem, we are given k servers, their initial locations and a sequence of n requests that arrive one at a time. All these locations are points from some metric space and the cost of serving a request is given by the distance between the location of the request and the current location of the server selected to process the request. We must immediately process the request by moving a server to the request location. The objective in this problem is to minimize the

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Botha, Marlene. "Online traffic engineering for MPLS networks." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50049.

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Thesis (MSc) -- Stellenbosch University, 2004.<br>ENGLISH ABSTRACT: The Internet is fast evolving into a commercial platform that carries a mixture of narrow- and broadband applications such as voice, video, and data. Users expect a certain level of guaranteed service from their service providers and consequently the need exists for efficient Internet traffic engineering to enable better Quality of Service (QoS) capabilities. Multi-protocol Label Switching (MPLS) is a label switching protocol that has emerged as an enabling technology to achieve efficient traffic engineering for QoS mana

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Morimoto, Naoyuki. "Design and Analysis of Algorithms for Graph Exploration and Resource Allocation Problems and Their Application to Energy Management." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/189687.

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Campanini, Alessandro. "Online Parameters Estimation in Battery Systems for EV and PHEV Applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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The main target of this thesis is to assess whether two among of the most advanced algorithms are able to perform an online parameters estimation. Starting from a current profile generated by a real driving cycle and applied to an Electric Circuit Model (ECM) with known parameters, a voltage profile is generated. Then, Extended Kalman Filter (EKF) and Varied-Parameters Approach (VPA) will be employed both to the known system and to a real battery cell profile with unknown parameters. The research has led to the result that even if the two algorithms present opposite characteristics in terms of

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Raykhel, Ilya Igorevitch. "Real-Time Automatic Price Prediction for eBay Online Trading." BYU ScholarsArchive, 2008. https://scholarsarchive.byu.edu/etd/1631.

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While Machine Learning is one of the most popular research areas in Computer Science, there are still only a few deployed applications intended for use by the general public. We have developed an exemplary application that can be directly applied to eBay trading. Our system predicts how much an item would sell for on eBay based on that item's attributes. We ran our experiments on the eBay laptop category, with prior trades used as training data. The system implements a feature-weighted k-Nearest Neighbor algorithm, using genetic algorithms to determine feature weights. Our results demonstrate

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Holmgren, Faghihi Josef, and Paul Gorgis. "Time efficiency and mistake rates for online learning algorithms : A comparison between Online Gradient Descent and Second Order Perceptron algorithm and their performance on two different data sets." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-260087.

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This dissertation investigates the differences between two different online learning algorithms: Online Gradient Descent (OGD) and Second-Order Perceptron (SOP) algorithm, and how well they perform on different data sets in terms of mistake rate, time cost and number of updates. By studying different online learning algorithms and how they perform in different environments will help understand and develop new strategies to handle further online learning tasks. The study includes two different data sets, Pima Indians Diabetes and Mushroom, together with the LIBOL library for testing. The result

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Holm, Raven R. "Natural language processing of online propaganda as a means of passively monitoring an adversarial ideology." Thesis, Monterey, California: Naval Postgraduate School, 2017. http://hdl.handle.net/10945/52993.

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Approved for public release; distribution is unlimited<br>Reissued 30 May 2017 with Second Reader’s non-NPS affiliation added to title page.<br>Online propaganda embodies a potent new form of warfare; one that extends the strategic reach of our adversaries and overwhelms analysts. Foreign organizations have effectively leveraged an online presence to influence elections and distance-recruit. The Islamic State has also shown proficiency in outsourcing violence, proving that propaganda can enable an organization to wage physical war at very little cost and without the resources traditionally req

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