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Thèses sur le sujet « Computation rule »

Auteur : Grafiati
Publié le 2 juin 2025
Mis à jour le 31 juillet 2025

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1

Galea, Michelle. "Fuzzy rules from ant-inspired computation." Thesis, University of Edinburgh, 2007. http://hdl.handle.net/1842/2701.

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This research identifies and investigates major issues in inducing accurate and comprehensible fuzzy rules from datasets. A review of the current literature on fuzzy rulebase induction uncovers two significant issues: A. There is a tradeoff between inducing accurate fuzzy rules and inducing comprehensible fuzzy rules; and, B. A common strategy for the induction of fuzzy rulebases, that of iterative rule learning where the rules are generated one by one and independently of each other, may not be an optimal one. FRANTIC, a system that provides a framework for exploring the claims above is devel
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Buss, Aaron Thomas. "Closing the developmental loop on the behavioral and neural dynamics of flexible rule-use." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4949.

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Executive function (EF) is a central aspect of cognition that undergoes significant changes in early childhood. Changes in EF in early childhood are robustly predictive of academic achievement and general quality of life measures later in adulthood. I develop a dynamic neural field (DNF) model which provides a process-based account of behavior and developmental change in a key task used to probe the early development of executive function--the Dimensional Change Card Sort (DCCS) task. In the DCCS, children must flexibly switch from sorting cards either by shape or color to sorting by the other
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Rastegari, Samaneh. "Intelligent network intrusion detection using an evolutionary computation approach." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1760.

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With the enormous growth of users' reliance on the Internet, the need for secure and reliable computer networks also increases. Availability of effective automatic tools for carrying out different types of network attacks raises the need for effective intrusion detection systems. Generally, a comprehensive defence mechanism consists of three phases, namely, preparation, detection and reaction. In the preparation phase, network administrators aim to find and fix security vulnerabilities (e.g., insecure protocol and vulnerable computer systems or firewalls), that can be exploited to launch attac
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4

Kim, Hantae. "FUZZY RULE-BASED RELAXATION SCHEMES IN GROUNDWATER FLOW COMPUTATIONS." Kyoto University, 1998. http://hdl.handle.net/2433/182424.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第7563号<br>農博第1024号<br>新制||農||772(附属図書館)<br>学位論文||H10||N3213(農学部図書室)<br>UT51-99-A249<br>京都大学大学院農学研究科農業工学専攻<br>(主査)教授 河地 利彦, 教授 青山 咸康, 教授 三野 徹<br>学位規則第4条第1項該当
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Breutel, Stephan Werner. "Analysing the behaviour of neural networks." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15943/1/Stephan_Breutel_Thesis.pdf.

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A new method is developed to determine a set of informative and refined interface assertions satisfied by functions that are represented by feed-forward neural networks. Neural networks have often been criticized for their low degree of comprehensibility.It is difficult to have confidence in software components if they have no clear and valid interface description. Precise and understandable interface assertions for a neural network based software component are required for safety critical applications and for theintegration into larger software systems. The interface assertions we a
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Breutel, Stephan Werner. "Analysing the behaviour of neural networks." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15943/.

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A new method is developed to determine a set of informative and refined interface assertions satisfied by functions that are represented by feed-forward neural networks. Neural networks have often been criticized for their low degree of comprehensibility.It is difficult to have confidence in software components if they have no clear and valid interface description. Precise and understandable interface assertions for a neural network based software component are required for safety critical applications and for theintegration into larger software systems. The interface assertions we are con
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7

Barua, Dipak. "Rule-based Computational Modeling of Modular Signaling Protein Interactions." NCSU, 2008. http://www.lib.ncsu.edu/theses/available/etd-08122008-144717/.

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Intracellular signal transduction pathways are comprised of complex interactions among cellular proteins and other biomolecules. The structures of signaling proteins/enzymes are often modular, with conserved domains that carry out specific interactions or catalytic functions, and their core activities are dictated through coordinated intra- and inter-molecular interactions. In collaboration with Prof. James Faeder (Computational Biology, University of Pittsburgh), we have applied a computational algorithm for generating large networks of kinetic equations based on a much smaller set of mechani
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Matthews, Stephen. "Learning lost temporal fuzzy association rules." Thesis, De Montfort University, 2012. http://hdl.handle.net/2086/8257.

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Fuzzy association rule mining discovers patterns in transactions, such as shopping baskets in a supermarket, or Web page accesses by a visitor to a Web site. Temporal patterns can be present in fuzzy association rules because the underlying process generating the data can be dynamic. However, existing solutions may not discover all interesting patterns because of a previously unrecognised problem that is revealed in this thesis. The contextual meaning of fuzzy association rules changes because of the dynamic feature of data. The static fuzzy representation and traditional search method are ina
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Sommacal, Silvano. "Computational petrology : subsolidus equilibria in the upper mantle /." View thesis entry in Australian Digital Theses Program, 2004. http://thesis.anu.edu.au/public/adt-ANU20050415.151025/index.html.

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Wilson-Kanamori, John Roger. "Defining complex rule-based models in space and over time." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/11687.

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Computational biology seeks to understand complex spatio-temporal phenomena across multiple levels of structural and functional organisation. However, questions raised in this context are difficult to answer without modelling methodologies that are intuitive and approachable for non-expert users. Stochastic rule-based modelling languages such as Kappa have been the focus of recent attention in developing complex biological models that are nevertheless concise, comprehensible, and easily extensible. We look at further developing Kappa, in terms of how we might define complex models in both the
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Oeltjen, Craig L. "A comparison of computational cognitive models : agent-based systems versus rule-based architectures." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FOeltjen.pdf.

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Thesis (M.S. in Modeling, Virtual Environments and Simulation)--Naval Postgraduate School, March 2003.<br>Thesis advisor(s): Rudolph Darken, Barry Peterson. Includes bibliographical references (p. 61). Also available online.
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12

Shah, Pooja P. "Combination of a Probabilistic-Based and a Rule-Based Approach for Genealogical Record Linkage." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1353.

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Record linkage is the task of identifying records within one or multiple databases that refer to the same entity. Currently, there exist many different approaches for record linkage. Some approaches incorporate the use of heuristic rules, mathematical models, Markov models, or machine learning. This thesis focuses on the application of record linkage to genealogical records within family trees. Today, large collections of genealogical records are stored in databases, which may contain multiple records that refer to a single individual. Resolving duplicate genealogical records can extend our kn
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Kaynak, Cihan. "Semantic Inconsistency and Computational Intractability in Transitive Abstraction Rules." Miami University / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=miami1217218715.

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Cartlidge, John Peter. "Rules of engagement : competitive coevolutionary dynamics in computational systems." Thesis, University of Leeds, 2004. http://etheses.whiterose.ac.uk/1315/.

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Given that evolutionary biologists have considered coevolutionary interactions since the dawn of Darwinism, it is perhaps surprising that coevolution was largely overlooked during the formative years of evolutionary computing. It was not until the early 1990s that Hillis' seminal work thrust coevolution into the spotlight. Upon attempting to evolve fixed-length sorting networks, a problem with a long and competitive history, Hillis found that his standard evolutionary algorithm was producing sub-standard networks. In response, he decided to reciprocally evolve a population of testlists against
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Alegret, Ramon Núria. "Computations on fullerenes: finding rules, identifying products and disclosing reactions paths." Doctoral thesis, Universitat Rovira i Virgili, 2014. http://hdl.handle.net/10803/275957.

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Moynihan, G. "Stock : The lower of cost or market value in the computation of trading profit for tax purposes." Thesis, University of Oxford, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.234303.

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17

Johansson, Vida. "Depending on VR : Rule-based Text Simplification Based on Dependency Relations." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139043.

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The amount of text that is written and made available increases all the time. However, it is not readily accessible to everyone. The goal of the research presented in this thesis was to develop a system for automatic text simplification based on dependency relations, develop a set of simplification rules for the system, and evaluate the performance of the system. The system was built on a previous tool and developments were made to ensure the that the system could perform the operations necessary for the rules included in the rule set. The rule set was developed by manual adaption of the rules
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18

Hahsler, Michael, Bettina Grün, and Kurt Hornik. "A computational environment for mining association rules and frequent item sets." Institut für Statistik und Mathematik, WU Vienna University of Economics and Business, 2005. http://epub.wu.ac.at/132/1/document.pdf.

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Mining frequent itemsets and association rules is a popular and well researched approach to discovering interesting relationships between variables in large databases. The R package arules presented in this paper provides a basic infrastructure for creating and manipulating input data sets and for analyzing the resulting itemsets and rules. The package also includes interfaces to two fast mining algorithms, the popular C implementations of Apriori and Eclat by Christian Borgelt. These algorithms can be used to mine frequent itemsets, maximal frequent itemsets, closed frequent itemsets and asso
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19

Toska, Marsida. "A Rule-Based Normalization System for Greek Noisy User-Generated Text." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-424777.

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The ever-growing usage of social media platforms generates daily vast amounts of textual data which could potentially serve as a great source of information. Therefore, mining user-generated data for commercial, academic, or other purposes has already attracted the interest of the research community. However, the informal writing which often characterizes online user-generated texts poses a challenge for automatic text processing with Natural Language Processing (NLP) tools. To mitigate the effect of noise in these texts, lexical normalization has been proposed as a preprocessing method which
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20

Poggiolini, Mario. "The feature detection rule and its application within the negative selection algorithm." Diss., Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-06262009-112502/.

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21

Hornik, Kurt, Bettina Grün, and Michael Hahsler. "arules - A Computational Environment for Mining Association Rules and Frequent Item Sets." American Statistical Association, 2005. http://epub.wu.ac.at/3976/1/arules.pdf.

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Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases. The R package arules presented in this paper provides a basic infrastructure for creating and manipulating input data sets and for analyzing the resulting itemsets and rules. The package also includes interfaces to two fast mining algorithms, the popular C implementations of Apriori and Eclat by Christian Borgelt. These algorithms can be used to mine frequent itemsets, maximal frequent itemsets, closed frequent itemsets a
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22

Nalenz, Malte. "Horseshoe RuleFit : Learning Rule Ensembles via Bayesian Regularization." Thesis, Linköpings universitet, Statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130249.

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This work proposes Hs-RuleFit, a learning method for regression and classification, which combines rule ensemble learning based on the RuleFit algorithm with Bayesian regularization through the horseshoe prior. To this end theoretical properties and potential problems of this combination are studied. A second step is the implementation, which utilizes recent sampling schemes to make the Hs-RuleFit computationally feasible. Additionally, changes to the RuleFit algorithm are proposed such as Decision Rule post-processing and the usage of Decision rules generated via Random Forest. Hs-RuleFit addr
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23

Dam, Hai Huong Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "A scalable evolutionary learning classifier system for knowledge discovery in stream data mining." Awarded by:University of New South Wales - Australian Defence Force Academy, 2008. http://handle.unsw.edu.au/1959.4/38865.

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Data mining (DM) is the process of finding patterns and relationships in databases. The breakthrough in computer technologies triggered a massive growth in data collected and maintained by organisations. In many applications, these data arrive continuously in large volumes as a sequence of instances known as a data stream. Mining these data is known as stream data mining. Due to the large amount of data arriving in a data stream, each record is normally expected to be processed only once. Moreover, this process can be carried out on different sites in the organisation simultaneously making the
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Esposito, Gabriele. "Representation, power and electoral rules : myths and paradoxes : a computational and experimental approach." Paris, EHESS, 2011. http://www.theses.fr/2011EHES0152.

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Est-ce que l'être humain, seul ou en groupe, est en mesure de comprendre l'influence qu'il possède à l'intérieur d'un comité décisionnel? Est-il capable de traiter tous les acteurs de façon équitable dans le processus de conception d'une assemblée parlementaire, ou bien donnera-t-il vie à des créatures bizarres, avec des motivations purement politiciennes? Les règles de vote actuelles sont-t-elles bien crées dans le but d'éviter des résultats paradoxaux lors d'une élection? Cette thèse répond à ces questions en utilisant des outils de la théorie des jeux coopératifs et non coopératifs, à l'aid
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25

Mosenkis, Viktor [Verfasser], Uwe [Akademischer Betreuer] Naumann, and Trond [Akademischer Betreuer] Steihaug. "Transformation of linearized computational graphs driven by the associativity of the chain rule / Viktor Mosenkis ; Uwe Naumann, Trond Steihaug." Aachen : Universitätsbibliothek der RWTH Aachen, 2018. http://d-nb.info/1162629436/34.

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26

Harrison, Matthew, Istvan Karsai, and Christopher Wallace. "SELF-ORGANIZED STRUCTURES: MODELING POLISTES DOMINULA NEST CONSTRUCTION WITH SIMPLE RULES." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/asrf/2018/schedule/93.

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The self-organized nest construction behaviors of European paper wasps (Polistes dominula) show potential for adoption in artificial intelligence and robotic systems where centralized control proves challenging. However, P. dominula nest construction mechanisms are not fully understood. The goal of this research was to investigate how P. dominula nest structures stimulate worker actions. Simulation utilities were constructed in C++, C#, and Python. Two models from previous work, a three-dimensional model with weighted actions and a two-dimensional model with simple rule-based actions, were com
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27

Gupta, Vijay. "Modeling and Computational Strategies for Optimal Oilfield Development Planning under Fiscal Rules and Endogenous Uncertainties." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/231.

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This dissertation proposes new mixed-integer optimization models and computational strategies for optimal offshore oil and gas field infrastructure planning under fiscal rules of the agreements with the host government, accounting for endogenous uncertainties in the field parameters using a stochastic programming framework. First, a multiperiod mixed-integer nonlinear programming (MINLP) model is proposed in Chapter 2 that incorporates field level investment and operating decisions, and maximizes the net present value (NPV). Two theoretical properties are proposed to remove the bilinear terms
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Harrison, Matthew. "Self-Organized Structures: Modeling Polistes dominula Nest Construction with Simple Rules." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3382.

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The self-organized nest construction behaviors of European paper wasps (Polistes dominula) show potential for adoption in artificial intelligence and robotic systems where centralized control proves challenging. However, P. dominula nest construction mechanisms are not fully understood. This research investigated how nest structures stimulate P. dominula worker action at different stages of nest construction. A novel stochastic site selection model, weighted by simple rules for cell age, height, and wall count, was implemented in a three-dimensional, step-by-step nest construction simulation.
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Wannous, Rouaa. "Computational inference of conceptual trajectory model : considering domain temporal and spatial dimensions." Thesis, La Rochelle, 2014. http://www.theses.fr/2014LAROS023/document.

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Le développement de technologies comme les systèmes de positionnement par satellites (GNSS), les communications sans fil, les systèmes de radio-identification (RFID) et des capteurs a augmenté la disponibilité de données spatio-temporelles décrivant des trajectoires d’objets mobiles. Des bases de données relationnelles peuvent être utilisées pour stocker et questionner les données capturées. Des applications récentes montrent l’intérêt d’une approche intégrant des trajectoires « sémantiques » pour intégrer des connaissances sur les comportements d’objets mobiles. Dans cette thèse, nous proposo
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Torres, Alvarado Irene 1984. "The Influence of syllabic structure on computational processes : an electrophysiological and behavioural approach." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/665961.

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In language learning two mechanisms are of critical importance, namely, rule learning and statistical learning. Additionally, an important linguistic unit, the syllable, has been proposed to be the unit of speech segmentation and speech production. The present dissertation explores the influence of syllabic structure on rule learning and statistical learning mechanisms. First, I explored the interference of syllabic structure changes over adjacent repetition-based rules and statistical word segmentation in a series of behavioral experiments. Then, I explored the ERP signatures of a syllabic st
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Mobassera, Umme Juka. "Extending Regulatory Network Modeling with Multistate Species." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/35594.

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By increasing the level of abstraction in the representation of regulatory network models, we can hope to allow modelers to create models that are beyond the threshold of what can currently be expressed reliably. As hundreds of reactions are difficult to understand, maintain, and extend, thousands of reactions become next to impossible without any automation or aid. Using the multistate-species concept we can reduce the number of reactions needed to represent certain systems and thus, lessen the cognitive load on modelers. A multistate species is an entity with a defined range for state variab
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Li, Iila Jingjiao. "Flexible polyhedra : exploring finite mechanisms of triangulated polyhedra." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/271806.

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In a quest to design novel deployable structures, flexible polyhedra provide interesting insights. This work follows the discovery of flexible polyhedra and aims to make flexible polyhedra more useful. The dissertation describes how flexible polyhedra can be made. The flexible polyhedra first considered in this dissertation have a rotational degree of freedom. The range of this rotational movement is measured and maximised in this work by numerical maximisation. All polyhedra are established computationally: an iterative solution method is used to find vertex coordinates; several clash detecti
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Williamson, Alexander James. "Methods, rules and limits of successful self-assembly." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:9eb549f9-3372-4a38-9370-a9b0e58ca26b.

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The self-assembly of structured particles into monodisperse clusters is a challenge on the nano-, micro- and even macro-scale. While biological systems are able to self-assemble with comparative ease, many aspects of this self-assembly are not fully understood. In this thesis, we look at the strategies and rules that can be applied to encourage the formation of monodisperse clusters. Though much of the inspiration is biological in nature, the simulations use a simple minimal patchy particle model and are thus applicable to a wide range of systems. The topics that this thesis addresses include:
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Ayadi, Manel. "Winner Determination under Common Voting Rules using Truncated Ballots." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLED030.

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Les règles de vote classiques supposent que les bulletins de vote des électeurs sont des ordres de préférence complets sur les candidats. Cependant, lorsque le nombre de candidats est suffisamment élevé, il est trop coûteux de demander aux électeurs de classer tous les candidats. Il y a donc un compromis à faire entre l’efficacité d’une méthode d’agrégation des préférences et la charge de communication qu’elle fait peser sur les électeurs.Dans cette thèse, nous abordons ce problème en suggérant de demander aux électeurs de ne classer que leurs k candidats préférés (où k
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Hettne, Kristina. "Using nuclear receptor interactions as biomarkers for metabolic syndrome." Thesis, University of Skövde, Department of Computer Science, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-813.

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<p>Metabolic syndrome is taking epidemic proportions, especially in developed countries. Each risk factor component of the syndrome independently increases the risk of developing coronary artery disease. The risk factors are obesity, dyslipidemia, hypertension, diabetes type 2, insulin resistance, and microalbuminuria. Nuclear receptors is a family of receptors that has recently received a lot of attention due to their possible involvement in metabolic syndrome. Putting the receptors into context with their co-factors and ligands may reveal therapeutic targets not found by studying the recepto
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Maré, Charl Francois. "An investigation of CFD simulation for estimation of turbine RUL." Diss., University of Pretoria, 2018. http://hdl.handle.net/2263/69152.

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Turbines encounter blade failures due to fatigue and creep. It has been shown in the literature that the primary cause of steam turbine blade failures worldwide can be ascribed to fatigue in low pressure (LP) turbine blades. The failure and damage to these blades can lead to catastrophic consequences. Some utilities use empirical methods to determine the forces experienced by turbine blades but desire more accurate methods. The inaccurate prediction of high-cycle fatigue (HCF), thermal durability and stage performance is introduced when one does not consider blade row interaction. Blade row
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Nash, Anthony. "Understanding the "rules of engagement" for membrane protein folding : chemical biology and computational approaches for determination of structure and dynamics." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/63780/.

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Approximately one third of genes in the human genome (1) encode transmembrane (TM) proteins and form more than half of all drug targets (2). However, our understanding of how these proteins fold into their functional form, as well as how they may misfold into a disease-associated form, remains a difficult area of study. By observing the effects of single point mutations in the context of a native sequence, in addition to adding and mutating interhelical interaction motifs on a low complexity sequence background, we aim to elicit ‘rules’ of TM protein domain association. For the single point mu
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Bouchacourt, Flora. "Hebbian mechanisms and temporal contiguity for unsupervised task-set learning." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066379/document.

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L'homme est capable d'utiliser des stratégies ou règles concurrentes selon les contraintes environnementales. Nous étudions un modèle plausible pour une tâche nécessitant l'apprentissage de plusieurs règles associant des stimuli visuels à des réponses motrices. Deux réseaux de populations neurales à sélectivité mixte interagissent. Le réseau décisionnel apprend les associations stimulus-réponse une à une, mais ne peut gérer qu'une règle à la fois. Son activité modifie la plasticité synaptique du second réseau qui apprend les statistiques d'évènements sur une échelle de temps plus longue. Lorsq
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Jarman, Jay. "Combining Natural Language Processing and Statistical Text Mining: A Study of Specialized Versus Common Languages." Scholar Commons, 2011. http://scholarcommons.usf.edu/etd/3166.

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This dissertation focuses on developing and evaluating hybrid approaches for analyzing free-form text in the medical domain. This research draws on natural language processing (NLP) techniques that are used to parse and extract concepts based on a controlled vocabulary. Once important concepts are extracted, additional machine learning algorithms, such as association rule mining and decision tree induction, are used to discover classification rules for specific targets. This multi-stage pipeline approach is contrasted with traditional statistical text mining (STM) methods based on term counts
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He, Yuanchen. "Fuzzy-Granular Based Data Mining for Effective Decision Support in Biomedical Applications." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_diss/12.

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Due to complexity of biomedical problems, adaptive and intelligent knowledge discovery and data mining systems are highly needed to help humans to understand the inherent mechanism of diseases. For biomedical classification problems, typically it is impossible to build a perfect classifier with 100% prediction accuracy. Hence a more realistic target is to build an effective Decision Support System (DSS). In this dissertation, a novel adaptive Fuzzy Association Rules (FARs) mining algorithm, named FARM-DS, is proposed to build such a DSS for binary classification problems in the biomedical dom
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Jansche, Martin. "Inference of string mappings for speech technology." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1061209163.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xv, 268 p.; also includes graphics. Includes abstract and vita. Advisor: Chris Brew, Dept. of Linguistics. Includes bibliographical references (p. 252-266) and index.
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Kane, Mouhamadou bamba. "Extraction et sélection de motifs émergents minimaux : application à la chémoinformatique." Thesis, Normandie, 2017. http://www.theses.fr/2017NORMC223/document.

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La découverte de motifs est une tâche importante en fouille de données. Cemémoire traite de l’extraction des motifs émergents minimaux. Nous proposons une nouvelleméthode efficace qui permet d’extraire les motifs émergents minimaux sans ou avec contraintede support ; contrairement aux méthodes existantes qui extraient généralement les motifs émergentsminimaux les plus supportés, au risque de passer à côté de motifs très intéressants maispeu supportés par les données. De plus, notre méthode prend en compte l’absence d’attributqui apporte une nouvelle connaissance intéressante.En considérant les
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Doste, Beltrán Rubén. "Computational models of the heart for planning and treatment of outflow tract ventricular arrhythmias." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/668034.

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The purpose of this thesis was to develop personalised cardiovascular therapy guided by multimodal noninvasive imaging and simulations, combined with artificial intelligence tools, for the management of the outflow tract ventricular arrhythmias. The main contributions of this thesis are twofold: -We propose a pipeline to build heart computational models for simulation of ventricular tachycardia that incorporates a new specific rule-base method for fiber generation, including the ventricular outflow tracts. The pipeline allows carrying out multiscale simulations, obtaining the patient ECG
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Goet, Niels. "The politics of procedural choice : regulating legislative debate in the UK House of Commons, 1811-2015." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:080bb7ac-cee7-42b4-b6a5-d4f5f30d5495.

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All democratic organisations operate under a particular set of rules. Such procedures are implemented by the very individuals that create and maintain them, usually under a majority voting rule. This research project engages with the question of why and how members of parliament "abdicate" procedural power, focusing on the evolution of the rules of debate in the UK House of Commons. Working from newly collected data on the reform of Standing Orders of the House spanning 205 years (1811 - 2015), as well as records of over six million speeches, it provides a new perspective on procedural choice.
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Alrabiah, Abdulrahman A. "Developing a Computational Framework for Regulatory Policy Change Governance System: Case of Financial Regulation in Saudi Arabia." Thesis, Griffith University, 2022. http://hdl.handle.net/10072/414586.

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This doctoral thesis presents novel technological and systematic solutions to improve business process change practices and solve regulatory policy implementations in central banks that encounter inefficiencies and shortcomings due to multidimensional constraints and complex setups. Central banks deal with complicated relationships (other central banks, commercial banks, consumers, and exogenous bodies) that require a sophisticated tool that can provide constant measurements for each node. The nature of these multi-actor challenges in the global regulatory financial systems suggests an informa
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Hoyos, Jacob. "PLPrepare: A Grammar Checker for Challenging Cases." Digital Commons @ East Tennessee State University, 2021. https://dc.etsu.edu/etd/3898.

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This study investigates one of the Polish language’s most arbitrary cases: the genitive masculine inanimate singular. It collects and ranks several guidelines to help language learners discern its proper usage and also introduces a framework to provide detailed feedback regarding arbitrary cases. The study tests this framework by implementing and evaluating a hybrid grammar checker called PLPrepare. PLPrepare performs similarly to other grammar checkers and is able to detect genitive case usages and provide feedback based on a number of error classifications.
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Ahmady, Tobias, and Rosmar Sander Klein. "Translation of keywords between English and Swedish." Thesis, KTH, Data- och elektroteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146637.

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In this project, we have investigated how to perform rule-based machine translation of sets of keywords between two languages. The goal was to translate an input set, which contains one or more keywords in a source language, to a corresponding set of keywords, with the same number of elements, in the target language. However, some words in the source language may have several senses and may be translated to several, or no, words in the target language. If ambiguous translations occur, the best translation of the keyword should be chosen with respect to the context. In traditional machine trans
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Del, Frate Gianluca. "Development, validation and application of accurate molecular force fields for complex soft matter systems." Doctoral thesis, Scuola Normale Superiore, 2018. http://hdl.handle.net/11384/85815.

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Elias, Rodrigues Yuri. "Unification de l’hétérogénéité expérimentale par un modèle géométrique de la plasticité synaptique." Electronic Thesis or Diss., Université Côte d'Azur, 2021. http://www.theses.fr/2021COAZ6013.

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La façon dont l'apprentissage se produit est une question de longue date à laquelle la recherche en neuroscience tente de répondre. Depuis la première démonstration que la force de câblage des neurones peut être persistante, l'étude des connexions neuronales, les synapses, est devenue une voie de compréhension pour la formation de la mémoire. Dans les années 70, les premières méthodes d'électrophysiologie pour modifier la force synaptique a été découverte, menant à la preuve que les synapses stimulées ont des propriétés plastiques. Une telle forme de plasticité synaptique avait été prédite deu
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Murphy, Brian R. "Order-sensitive XML query processing over relational sources." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0505103-123753.

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Thesis (M.S.)--Worcester Polytechnic Institute.<br>Keywords: computation pushdown; XML; order-based Xquery processing; relational database; ordered SQL queries; data model mapping; XQuery; XML data mapping; SQL; XML algebra rewrite rules; XML document order. Includes bibliographical references (p. 64-67).
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