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1

Schleiermacher, Chris. "Algorithmic support for PCR and genome wide repeat analysis." [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=963799495.

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Alexandre, Fernando Jorge Marques. "Multi-GPU support on the marrow algorithmic skeleton framework." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10746.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática<br>With the proliferation of general purpose GPUs, workload parallelization and datatransfer optimization became an increasing concern. The natural evolution from using a single GPU, is multiplying the amount of available processors, presenting new challenges, as tuning the workload decompositions and load balancing, when dealing with heterogeneous systems. Higher-level programming is a very important asset in a multi-GPU environment, due to the complexity inherent to the currently used GPGPU APIs (OpenCL and CUDA), becaus
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Caimi, Gabrio Curzio. "Algorithmic decision support for train scheduling in a large and highly utilised railway network." Aachen Shaker, 2009. http://d-nb.info/998740608/04.

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Wang, Kaibo. "Algorithmic and Software System Support to Accelerate Data Processing in CPU-GPU Hybrid Computing Environments." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1447685368.

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5

Hück, Alexander [Verfasser], Christian [Akademischer Betreuer] Bischof, and Martin [Akademischer Betreuer] Bücker. "Compiler Support for Operator Overloading and Algorithmic Differentiation in C++ / Alexander Hück ; Christian Bischof, Martin Bücker." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2020. http://d-nb.info/1211726037/34.

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Caimi, Gabrio C. [Verfasser]. "Algorithmic decision support for train scheduling in a large and highly utilised railway network / Gabrio C Caimi." Aachen : Shaker, 2009. http://d-nb.info/1161301887/34.

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7

Меняйлов, Д. А., Наталія Анатоліївна Федотова, Наталия Анатольевна Федотова та ін. "Розроблення алгоритмічного та програмного забезпечення для економетричного моделювання монотонних процесів та прогнозування результатів". Thesis, Сумський державний університет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/64957.

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Мета роботи – автоматизація процесу аналізу та прогнозування статистичних даних довільним користувачем. Об’єктом дослідження є процес розроблення всіх можливих конфігурацій при використанні статистичних даних певного економічного процесу для забезпечення ефективного отримання якісної оцінки на виході із системи. Предметом дослідження є модель процесу розроблення всіх можливих конфігурацій даних, що задаються.
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Filippoupolitis, Avgoustinos. "Emergency Simulation and Decision Support Algorithms." Thesis, Imperial College London, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.523743.

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9

Wen, Tong 1970. "Support Vector Machine algorithms : analysis and applications." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8404.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2002.<br>Includes bibliographical references (p. 89-97).<br>Support Vector Machines (SVMs) have attracted recent attention as a learning technique to attack classification problems. The goal of my thesis work is to improve computational algorithms as well as the mathematical understanding of SVMs, so that they can be easily applied to real problems. SVMs solve classification problems by learning from training examples. From the geometry, it is easy to formulate the finding of SVM classifiers as a linearly constrained
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10

Wang, Wenjuan. "Optimization algorithms for SVM classification : Applications to geometrical chromosome analysis." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30111/document.

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Le génome est très organisé au sein du noyau cellulaire. Cette organisation et plus spécifiquement la localisation et la dynamique des gènes et chromosomes contribuent à l'expression génétique et la différenciation des cellules que ce soit dans le cas de pathologies ou non. L'exploration de cette organisation pourrait dans le futur aider à diagnostiquer et identifier de nouvelles cibles thérapeutiques. La conformation des chromosomes peut être analysée grâce au marquage ADN sur plusieurs sites et aux mesures de distances entre ces différents marquages fluorescents. Dans ce contexte, l'organisa
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11

Cardamone, Dario. "Support Vector Machine a Machine Learning Algorithm." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Nella presente tesi di laurea viene preso in considerazione l’algoritmo di classificazione Support Vector Machine. Piu` in particolare si considera la sua formulazione come problema di ottimizazione Mixed Integer Program per la classificazione binaria super- visionata di un set di dati.
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12

Bordes, Antoine. "New algorithms for large-scale support vector machines." Paris 6, 2010. http://www.theses.fr/2010PA066011.

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Il existe un besoin certain dans la communauté de l'apprentissage statistique pour des méthodes capables d'être entraînées sur des ensembles d'apprentissage de grande échelle, et pouvant ainsi gérer les quantités colossales d'informations générées quotidiennement. Dans cette thèse, nous proposons des solutions pour réduire le temps d'entraînement et les besoins en mémoire d'algorithmes d'apprentissage sans pour autant dégrader leur précision. Nous nous intéressons en particulier aux Machines à Vecteurs Supports (SVMs), des méthodes populaires utilisées en général pour des tâches de classificat
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13

Shilton, Alistair. "Design and training of support vector machines." Connect to thesis, 2006. http://repository.unimelb.edu.au/10187/443.

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In this thesis I introduce a new and novel form of SVM known as regression with inequalities, in addition to the standard SVM formulations of binary classification and regression. This extension encompasses both binary classification and regression, reducing the workload when extending the general form; and also provides theoretical insight into the underlying connections between the two formulations.
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Dutot, Pierre-François. "Algorithmes d'ordonnancement pour les nouveaux supports d'exécution." Phd thesis, Grenoble INPG, 2004. http://tel.archives-ouvertes.fr/tel-00011516.

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Les nouveaux supports d'exécution que sont les grilles de processeurs<br />apparaissent aujourd'hui comme une alternative économiquement viable aux grands systèmes de calcul centralisés. De grands projets nationaux comme GRID5000 sont basés sur ce concept de machines réparties. Ce changement du paysage du calcul parallèle haute performance a créé une nouvelle demande d'algorithmes spécifiques pour tirer le meilleur parti des ressources déployées. Pour concevoir ces algorithmes et démontrer leur efficacité, il faut s'appuyer sur des modèles qui tentent de décrire fidèlement le comportement réel
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15

George, E. D. "Decision-support algorithms for biopharmaceutical portfolio & capacity management." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1444225/.

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Biopharmaceutical drug development is risky, lengthy, and expensive. Decisions in this delicate process are complicated by constraints on resources such as available capacity and uncertainties that include the risk of clinical failure. Hence, the impact of making sub-optimal decisions in this environment can be severe. Accordingly, this work explores the development of algorithms to support strategic drug development decisions and contains four results sections. Firstly, a decision-support framework based on multi-criteria decision making (MCDM) is presented for assessing options when acquirin
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Doan, Thanh-Nghi. "Large scale support vector machines algorithms for visual classification." Thesis, Rennes 1, 2013. http://www.theses.fr/2013REN1S083/document.

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Nous présentons deux contributions majeures : 1) une combinaison de plusieurs descripteurs d’images pour la classification à grande échelle, 2) des algorithmes parallèles de SVM pour la classification d’images à grande échelle. Nous proposons aussi un algorithme incrémental et parallèle de classification lorsque les données ne peuvent plus tenir en mémoire vive<br>We have proposed a novel method of combination multiple of different features for image classification. For large scale learning classifiers, we have developed the parallel versions of both state-of-the-art linear and nonlinear SVMs.
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Gruber, Fred. "EVOLUTIONARY OPTIMIZATION OF SUPPORT VECTOR MACHINES." Master's thesis, University of Central Florida, 2004. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3092.

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Support vector machines are a relatively new approach for creating classifiers that have become increasingly popular in the machine learning community. They present several advantages over other methods like neural networks in areas like training speed, convergence, complexity control of the classifier, as well as a stronger mathematical background based on optimization and statistical learning theory. This thesis deals with the problem of model selection with support vector machines, that is, the problem of finding the optimal parameters that will improve the performance of the algorithm. It
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Bsoul, Assem A. M. "FPGA architectures and CAD algorithms with dynamic power gating support." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50859.

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As the CMOS technology scales down, the cost of fabricating an integrated circuit becomes more expensive. Field-programmable gate arrays (FPGAs) are becoming attractive because their fabrication costs are amortized among many customers. A major challenge that face adopting FPGAs in many low-power applications is their high power consumption due to their reconfigurablity. A significant portion of FPGAs' power is dissipated in the form of static power during applications' idle periods. To address the power challenge in FPGAs, this dissertation proposes architecture enhancements and algorithms s
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Zhang, Juan. "Goal-oriented buffer pool tuning algorithms for decision support workloads." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ59417.pdf.

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20

Lu, Yumao. "Kernel optimization and distributed learning algorithms for support vector machines." Diss., Restricted to subscribing institutions, 2005. http://uclibs.org/PID/11984.

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Manongga, D. H. F. "Using genetic algorithm-based methods for financial analysis." Thesis, University of East Anglia, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.320950.

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Lau, Cidney. "Support Vector Machine Algorithm applied to Industrial Robot Error Recovery." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172331.

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A Machine Learning approach for error recovery in an industrial robot for the plastic mold industry isproposed in this master thesis project. The goal was to improve the present error recovery method byproviding a learning algorithm to the system instead of using the traditional algorithm-based control.The chosen method was the Support Vector Machine (SVM) due to the robustness and the goodgeneralization performance in real-world applications. Furthermore, SVM generates good classifierseven with a minimal number of training examples. In production, there will be no need for a humanoperator to
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23

Wirotius, Matthieu. "Authentification par signature manuscrite sur support nomade." Tours, 2005. http://www.theses.fr/2005TOUR4031.

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Le travail présenté dans cette thèse concerne l'authentification par signature manuscrite en ligne. Tout d'abord, nous avons étudié la caractérisation des signatures par extraction et sélection de caractéristiques globales. Les caractéristiques innovantes proposées reposent sur l'étude de la fractalité et sur une étude multi-résolution des signatures manuscrites en ligne. Ensuite, dans le but d'améliorer les résultats obtenus en utilisant une méthode appelée Dynamic Time Warping, nous présentons des modifications pour la phase de mise en correspondance des points des signatures ainsi que de no
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Audoux, Yohann. "Développement d’une nouvelle méthode de réduction de modèle basée sur les hypersurfaces NURBS (Non-Uniform Rational B-Splines)." Thesis, Paris, ENSAM, 2019. http://www.theses.fr/2019ENAM0016/document.

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Malgré des décennies d’incontestables progrès dans le domaine des sciences informatiques, un certain nombre de problèmes restent difficiles à traiter en raison, soit de leur complexité numérique (problème d’optimisation, …), soit de contraintes spécifiques telle que la nécessité de traitement en temps réel (réalité virtuelle, augmentée, …). Dans ce contexte, il existe des méthodes de réduction de modèle qui permettent de réduire les temps de calcul de simulations multi-champs et/ou multi-échelles complexes. Le processus de réduction de modèle consiste à paramétrer un métamodèle qui requiert mo
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Chu, Shun-Kwong. "Scaling up support vector data description by using core-sets /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?COMP%202004%20CHU.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.<br>Includes bibliographical references (leaves 60-64). Also available in electronic version. Access restricted to campus users.
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Crampton, Andrew. "Radial basis and support vector machine algorithms for approximating discrete data." Thesis, University of Huddersfield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273723.

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The aim of this thesis is to demonstrate how the versatility of radial basis functions can be used to construct algorithms for approximating discrete sets of scattered data. In many cases, these algorithms have been constructed by blending together existing methods or by extending algorithms that exploit certain properties of a particular basis function to include certain radial functions. In the later chapters, we shall see that methods which currently use radial basis functions can be made more efficient by considering a change to the existing methods of solution. In chapter one we introduce
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Virote, João Tiago Vieira de Sousa. "Algorithms and methodologies for decision support in energy efficiency on buildings." Master's thesis, Faculdade de Ciências e Tecnologia, 2010. http://hdl.handle.net/10362/4873.

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Dissertação apresentada na faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores<br>Buildings worldwide account for approximately 40 percent of the global energy consumption and the resulting carbon footprint significantly exceeds those of all transportation combined. However, large and attractive opportunities to reduce energy use in buildings exist today. To reach ambitious energy efficiency goals, the building sector must undergo through technological innovation, informed customer choices, and smar
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Kuster, Jürgen. "Providing decision support in the operative management of process disruptions." Berlin GITO, 2008. http://d-nb.info/989565351/04.

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Chung, Sai-ho, and 鍾世豪. "A multi-criterion genetic algorithm for supply chain collaboration." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29357275.

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Vaidya, Rohan. "Optimum Support Structure Generation for Additive Manufacturing using Unit Cell Structures and Support Removal Constraint." University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1490354059543447.

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Collobert, Ronan. "Algorithmes d'Apprentissage pour grandes bases de données." Paris 6, 2004. http://www.theses.fr/2004PA066063.

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Cui, Zhenhuan. "The solution paths of multicategory support vector machines algorithm and applications /." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1190088634.

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33

Kafafy, Ahmed. "Hybrid Evolutionary Metaheuristics for Multiobjective Decision Support." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10184/document.

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La prise de décision est une partie intégrante de notre vie quotidienne où le décideur est confronté à des problèmes composés de plusieurs objectifs habituellement contradictoires. Dans ce travail, nous traitons des problèmes d'optimisation multiobjectif dans des espaces de recherche continus ou discrets. Nous avons développé plusieurs nouveaux algorithmes basés sur les métaheuristiques hybrides évolutionnaires, en particulier sur l'algorithme MOEA/D. Nous avons proposé l'algorithme HEMH qui utilise l'algorithme DM-GRASP pour construire une population initiale de solutions de bonne qualité dis
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Ogunsanya, Oluwole Victor. "Decision support using Bayesian networks for clinical decision making." Thesis, Queen Mary, University of London, 2012. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8688.

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This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Discretization Algorithm, to model a variety of clinical problems. In particular, the thesis demonstrates four novel applications of BN and dynamic discretization to clinical problems. Firstly, it demonstrates the flexibility of the Dynamic Discretization Algorithm in modeling existing medical knowledge using appropriate statistical distributions. Many practical applications of BNs use the relative frequency approach while translating existing medical knowledge to a prior distribution in a BN model. This appr
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Bhaduri, Sreyoshi. "Algorithm to enable intelligent rail break detection." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/78080.

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Wavelet intensity based algorithm developed previously at VirginiaTech has been furthered and paired with an SVM based classifier. The wavelet intensity algorithm acts as a feature extraction algorithm. The wavelet transform is an effective tool as it allows one to narrow down upon the transient, high frequency events and is able to tell their exact location in time. According to prior work done in the field of signal processing, the local regularities of a signal can be estimated using a Lipchitz exponent at each time step of the signal. The local Lipchitz exponent can then be used to generat
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Terrones, Michael. "A precise robotic arm positioning using an SVM classification algorithm." Diss., Online access via UMI:, 2007.

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Thesis (M.S.)--State University of New York at Binghamton, Department of Systems Science and Industrial Engineering, Thomas J. Watson School of Engineering and Applied Science, 2007.<br>Includes bibliographical references.
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McWhorter, Samuel P. "Fundamental Issues in Support Vector Machines." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc500155/.

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This dissertation considers certain issues in support vector machines (SVMs), including a description of their construction, aspects of certain exponential kernels used in some SVMs, and a presentation of an algorithm that computes the necessary elements of their operation with proof of convergence. In its first section, this dissertation provides a reasonably complete description of SVMs and their theoretical basis, along with a few motivating examples and counterexamples. This section may be used as an accessible, stand-alone introduction to the subject of SVMs for the advanced undergraduate
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Pighetti, Romaric. "Une méthode hybride pour la classification d'images à grain fin." Thesis, Université Côte d'Azur (ComUE), 2016. http://www.theses.fr/2016AZUR4085/document.

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La quantité d'images disponible sur Internet ne fait que croître, engendrant un besoin d'algorithmes permettant de fouiller ces images et retrouver de l'information. Les systèmes de recherche d'images par le contenu ont été développées dans ce but. Mais les bases de données grandissant, de nouveaux défis sont apparus. Dans cette thèse, la classification à grain fin est étudiée en particulier. Elle consiste à séparer des images qui sont relativement semblables visuellement mais représentent différents concepts, et à regrouper des images qui sont différentes visuellement mais représentent le mêm
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Joachims, Thorsten. "Learning to classify text using support vector machines : methods, theory and algorithms /." Boston [u.a.] : Kluwer Academic Publishers, 2004. http://www.loc.gov/catdir/toc/fy032/2002022127.html.

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Zugl.: Dortmund, Univ., Diss., 2001.<br>Originally presented as the author's thesis (Universität Dortmund) under the title: "The maximum-margin approach to learning text classifiers--methods, theory, and algorithms," 2001. - Includes bibliographical references (p. [181]-196) and index.
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Aftarczuk, Kamila. "Evaluation of selected data mining algorithms implemented in Medical Decision Support Systems." Thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6194.

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The goal of this master’s thesis is to identify and evaluate data mining algorithms which are commonly implemented in modern Medical Decision Support Systems (MDSS). They are used in various healthcare units all over the world. These institutions store large amounts of medical data. This data may contain relevant medical information hidden in various patterns buried among the records. Within the research several popular MDSS’s are analyzed in order to determine the most common data mining algorithms utilized by them. Three algorithms have been identified: Naïve Bayes, Multilayer Perceptron and
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Hacoupian, Yourik. "Mining Aspects through Cluster Analysis Using Support Vector Machines and Genetic Algorithms." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/170.

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The main purpose of object-oriented programming is to use encapsulation to reduce the amount of coupling within each object. However, object-oriented programming has some weaknesses in this area. To address this shortcoming, researchers have proposed an approach known as aspect-oriented programming (AOP). AOP is intended to reduce the amount of tangled code within an application by grouping similar functions into an aspect. To demonstrate the powerful aspects of AOP, it is necessary to extract aspect candidates from current object-oriented applications. Many different approaches have been prop
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MOHANTY, ARCHANA. "DESIGN AND EVALUATION OF BLUETOOTH INTRA-PICONET SCHEDULING ALGORITHMS TO SUPPORT SCATTERNETS." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1070639743.

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Melki, Gabriella A. "Fast Online Training of L1 Support Vector Machines." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4282.

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This thesis proposes a novel experimental environment (non-linear stochastic gradient descent, NL-SGD), as well as a novel online learning algorithm (OL SVM), for solving a classic nonlinear Soft Margin L1 Support Vector Machine (SVM) problem using a Stochastic Gradient Descent (SGD) algorithm. The NL-SGD implementation has a unique method of random sampling and alpha calculations. The developed code produces a competitive accuracy and speed in comparison with the solutions of the Direct L2 SVM obtained by software for Minimal Norm SVM (MN-SVM) and Non-Negative Iterative Single Data Algorithm
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Stitson, Mark Oliver. "Design, implementation and applications of the Support Vector method and learning algorithm." Thesis, Royal Holloway, University of London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325368.

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45

Barrack, Craig Ian 1974. "A distributed scheduling algorithm for quality of service support in multiaccess networks." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/46251.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.<br>Includes bibliographical references (leaves 94-95).<br>This thesis presents a distributed scheduling algorithm for the support of quality of service in multiaccess networks. Unlike most contention-based multiaccess protocols which offer no quality of service guarantee and suffer the problems of fairness and low throughput at high load, our algorithm provides fairness and bandwidth reservation in an integrated services environment and at the same time achieves high thr
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Suntisrivaraporn, Boontawee. "Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1233830966436-59282.

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Description Logics (DLs) belong to a successful family of knowledge representation formalisms with two key assets: formally well-defined semantics which allows to represent knowledge in an unambiguous way and automated reasoning which allows to infer implicit knowledge from the one given explicitly. This thesis investigates various reasoning techniques for tractable DLs in the EL family which have been implemented in the CEL system. It suggests that the use of the lightweight DLs, in which reasoning is tractable, is beneficial for ontology design and maintenance both in terms of expressivity a
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47

Saunier, Julien. "Les communications multi-parties et leur régulation dans les systèmes multi-agents : modèle et support." Paris 9, 2008. http://www.theses.fr/2008PA090017.

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Dans cette thèse, nous proposons une modélisation des communications multi-parties et leur régulation dans les systèmes multi-agents. Cette modélisation, appelée EASI (Environnement Actif comme Support des Interactions) est celle d'un environnement actif. Les agents lui déléguent les tâches d'adressage des données et de recherche d'information. La formalisation est issue de l'analyse de données symboliques, adaptée à ce type de problèmes. Les apports de ce modèle sont (1) la prise en compte du contexte pour mener à bien les tâches de l'environnement, et (2) la standardisation des interactions
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Li, Rui. "Theoretical investigation of electronic properties of atomic clusters in their free forms and adsorbed on functionalized graphene support." Thesis, Pau, 2016. http://www.theses.fr/2016PAUU3018/document.

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Les (sub)nanoclusters sont des agrégats d’atomes ou de molécules composés de quelques unités à quelques centaines d’unités. En raison de leur petite taille, ils peuvent avoir des propriétés électroniques, optiques, magnétiques et catalytiques très différentes par rapport au solide correspondant . D'un point de vue expérimental, il est encore très difficile de synthétiser des agrégats de taille calibrée. D'un point de vue théorique, le développement des puissances de calcul, des méthodes de calcul de structure électronique et des algorithmes de recherches globales de structures stables, permett
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49

Pong, Dennis Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Quality of service support in multi-rate wireless networks." Awarded by:University of New South Wales. School of Electrical Engineering and Telecommunications, 2006. http://handle.unsw.edu.au/1959.4/25153.

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Packet switched wireless networks have become increasingly popular due to improvements in transmission speed, ease of deployment and mobility. Wireless technologies such as the IEEE 802.11 Wireless Local Area Networks provide transmission speeds capable of supporting multimedia applications. However, wireless channels suffer from short term effects such as interference and fading, and long term effects such as signal strength changes that are caused by user mobility. In multi-rate networks, stations can adapt to the channel variations by adjusting their physical transmission rates. This introd
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50

Guan, Wei. "New support vector machine formulations and algorithms with application to biomedical data analysis." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/41126.

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The Support Vector Machine (SVM) classifier seeks to find the separating hyperplane wx=r that maximizes the margin distance 1/||w||2^2. It can be formalized as an optimization problem that minimizes the hinge loss Ʃ[subscript i](1-y[subscript i] f(x[subscript i]))₊ plus the L₂-norm of the weight vector. SVM is now a mainstay method of machine learning. The goal of this dissertation work is to solve different biomedical data analysis problems efficiently using extensions of SVM, in which we augment the standard SVM formulation based on the application requirements. The biomedical applications
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