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Thèses sur le sujet « Predictive Reasoning »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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1

Bell, J. "Predictive conditionals, nonmonotonicity and reasoning about the future." Thesis, University of Essex, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.235132.

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Ng, Sin Wa Serena. "Towards an understanding of the staged model of predictive reasoning." Thesis, University of Leicester, 2009. http://hdl.handle.net/2381/7868.

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This study set out to examine the clinical practice of experienced occupational therapists in mental health vocational rehabilitation service in Hong Kong. A combined qualitative and quantitative methodological approach was used to enhance the methodological rigour of the research. Three sub-studies were carried out including a pre-study survey; a semi-structured interview for 6 experienced therapists and a multiple case studies to verify the model of predictive reasoning generated in this research. The findings of this study confirmed the consecutive staged model of decision making, the cycli

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Vallée-Tourangeau, Frédéric. "Adjustment to disconfirming evidence in a covariation judgment task : the role of alternative predictive relationships." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=41208.

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This project investigated the impact of sustained disconfirmation on an acquired belief in a covariation judgment task. Both epistemology and the philosophy of science suggest that data which oppose a hypothesis might not dictate the revision of the hypothesis unless an alternative hypothesis can explain the negative evidence and replace the previous hypothesis. As well, the literature on human categorization and reasoning documents a preference for examples and test instances which confirm rather than disconfirm a prior hypothesis. It was therefore predicted that upon the presentation of nega

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Alaya, Mili Nourhene. "Managing the empirical hardness of the ontology reasoning using the predictive modelling." Thesis, Paris 8, 2016. http://www.theses.fr/2016PA080062/document.

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Multiples techniques d'optimisation ont été implémentées afin de surmonter le compromis entre la complexité des algorithmes du raisonnement et l'expressivité du langage de formulation des ontologies. Cependant les compagnes d'évaluation des raisonneurs continuent de confirmer l'aspect imprévisible et aléatoire des performances de ces logiciels à l'égard des ontologies issues du monde réel. Partant de ces observations, l'objectif principal de cette thèse est d'assurer une meilleure compréhension du comportement empirique des raisonneurs en fouillant davantage le contenu des ontologies. Nous avo

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Abbas, Kaja Moinudeen. "Bayesian Probabilistic Reasoning Applied to Mathematical Epidemiology for Predictive Spatiotemporal Analysis of Infectious Diseases." Thesis, University of North Texas, 2006. https://digital.library.unt.edu/ark:/67531/metadc5302/.

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Abstract Probabilistic reasoning under uncertainty suits well to analysis of disease dynamics. The stochastic nature of disease progression is modeled by applying the principles of Bayesian learning. Bayesian learning predicts the disease progression, including prevalence and incidence, for a geographic region and demographic composition. Public health resources, prioritized by the order of risk levels of the population, will efficiently minimize the disease spread and curtail the epidemic at the earliest. A Bayesian network representing the outbreak of influenza and pneumonia in a geographic

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SORMANI, RAUL. "Criticality assessment of terrorism related events at different time scales TENSOR clusTEriNg terroriSm actiOn pRediction." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/125509.

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Law Enforcement Agencies (LEAs) are nowadays taking advantage of a wide range of information and intelligence sources (e.g., human intelligence (HUMINT), open source intelligence (OSINT), image analysis (IMINT)) to anticipate potential terroristic actions. Urban environments are nowadays associated with a wide range of vulnerabilities, which create fertile ground for terrorists planning actions against assets and/or citizens. These vulnerabilities stem from the characteristics of the urban environment (e.g., presence of civilians, availability of many and diverse physical infrastructures, comp

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Castillo, Guevara Ramon Daniel. "The emergence of cognitive patterns in learning: Implementation of an ecodynamic approach." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396531855.

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Cao, Qiushi. "Semantic technologies for the modeling of predictive maintenance for a SME network in the framework of industry 4.0 Smart condition monitoring for industry 4.0 manufacturing processes: an ontology-based approach Using rule quality measures for rule base refinement in knowledge-based predictive maintenance systems Combining chronicle mining and semantics for predictive maintenance in manufacturing processes." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMIR04.

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Dans le domaine de la fabrication, la détection d’anomalies telles que les défauts et les défaillances mécaniques permet de lancer des tâches de maintenance prédictive, qui visent à prévoir les défauts, les erreurs et les défaillances futurs et à permettre des actions de maintenance. Avec la tendance de l’industrie 4.0, les tâches de maintenance prédictive bénéficient de technologies avancées telles que les systèmes cyberphysiques (CPS), l’Internet des objets (IoT) et l’informatique dématérialisée (cloud computing). Ces technologies avancées permettent la collecte et le traitement de données d

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Bjurén, Johan. "USING CASE-BASED REASONING FOR PREDICTING ENERGY USAGE." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-9436.

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In this study, the inability to in a future meet the electricity demand and the urge to change the consumption behavior considered. In a smart grid context there are several possible ways to do this. Means include ways to increase the consumer’s awareness, add energy storages or build smarter homes which can control the appliances. To be able to implement these, indications on how the future consumption will be could be useful. Therefore we look further into how a framework for short-term consumption predictions can be created using electricity consumption data in relation to external factors.

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Khajotia, Burzin K. "CASE BASED REASONING – TAYLOR SERIES MODEL TO PREDICT CORROSION RATE IN OIL AND GAS WELLS AND PIPELINES." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1173828758.

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Boytsov, Andrey. "Context reasoning, context prediction and proactive adaptation in pervasive computing systems." Licentiate thesis, Luleå tekniska universitet, Datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-17626.

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The paradigm of pervasive computing aims to integrate the computing technologies in a graceful and transparent manner, and make computing solutions available anywhere and at any time. Different aspects of pervasive computing, like smart homes, smart offices, social networks, micromarketing applications, PDAs, etc. are becoming a part of everyday life. Context of pervasive computing system is any piece of information that can be of possible interest to the system. Context often includes location, time, activity, surroundings, etc. One of the core features of pervasive computing systems is con

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Laird, Philip G. "Predicting juror decisions, the impact of judicial admonitions and moral reasoning." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq24320.pdf.

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Vladimir, Kurbalija. "Time series analysis and prediction using case based reasoning technology. Analiza i predviđanja toka vremenskih serija pomoću "case-based reasoning" -tehnologije." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2009. http://dx.doi.org/10.2298/NS20091005KURBALIJA.

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This thesis describes one promising approach where a problem of timeseries analysis and prediction was solved by using Case Based Reasoning(CBR) technology. Foundations and main concepts of this technology aredescribed in detail. Furthermore, a detailed study of different approaches intime series analysis is given. System CuBaGe (Curve Base Generator) - Arobust and general architecture for curve representation and indexing timeseries databases, based on Case based reasoning technology, wasdeveloped. Also, a corresponding similarity measure was modelled for agiven kind of curve representation.

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Ballout, Ali. "Apprentissage actif pour la découverte d'axiomes." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4026.

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Cette thèse aborde le défi de l'évaluation des formules logiques candidates, avec un accent particulier sur les axiomes, en combinant de manière synergique l'apprentissage automatique et le raisonnement symbolique. Cette approche innovante facilite la découverte automatique d'axiomes, principalement dans la phase d'évaluation des axiomes candidats générés. La recherche vise à résoudre le problème de la validation efficace et précise de ces candidats dans le contexte plus large de l'acquisition de connaissances sur le Web sémantique.Reconnaissant l'importance des heuristiques de génération exis

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McNiel, Patrick Dean. "The utility of CRT-a sub-scales for understanding and predicting aggressive behaviors." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/52297.

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The purpose of this study is to re-analyze existing findings in order to demonstrate and summarize relationships between criteria and the sub-scales/dimensions of the Conditional Reasoning Test for Aggression (CRT-A): Externalizing, Internalizing, and Powerlessness. A CRT-A sub-scale was expected to relate more strongly with criteria categorized as being more relevant to the dimension that is represented by that sub-scale. For criteria that were categorized as relevant to only a subset of the dimensions represented by CRT-A sub-scales, the regression of a criterion on all three sub-scales was

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Daw, Elbait Gihan Elsir Ahmed. "From cancer gene expression to protein interaction: Interaction prediction, network reasoning and applications in pancreatic cancer." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-19908.

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Microarray technologies enable scientists to identify co-expressed genes at large scale. However, the gene expression analysis does not show functional relationships between co-expressed genes. There is a demand for effective approaches to analyse gene expression data to enable biological discoveries that can lead to identification of markers or therapeutic targets of many diseases. In cancer research, a number of gene expression screens have been carried out to identify genes differentially expressed in cancerous tissue such as Pancreatic Ductal Adenocarcinoma (PDAC). PDAC carries very poor

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Miller, Gina L. "An empirical investigation of a categorization based model of the evaluation formation process as it pertains to set membership prediction." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/29984.

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Loch-Dehbi, Sandra [Verfasser]. "Algebraic, logical and stochastic reasoning for the automatic prediction of 3d building structures / Sandra Loch-Dehbi." Bonn : Universitäts- und Landesbibliothek Bonn, 2021. http://d-nb.info/1227990502/34.

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Korrûbel, Jan Laurens. "Predicting recruitment in South African anchovy : analysis of an expert system approach, and the incorporation of probabilistic reasoning." Thesis, University of Cape Town, 1995. http://hdl.handle.net/11427/25869.

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Wiita, Nathan Ellis. "Voluntary turnover prediction comparing the utility of implicit and explicit personality measures /." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/31786.

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Thesis (M. S.)--Psychology, Georgia Institute of Technology, 2010.<br>Committee Chair: Lawrence R. James; Committee Member: Jack Feldman; Committee Member: Richard Catrambone. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Yonge, Katherine Chandler. "Criminal profile accuracy following training in inductive and deductive approaches." Master's thesis, Mississippi State : Mississippi State University, 2008. http://library.msstate.edu/etd/show.asp?etd=etd-03312008-194642.

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MIRAGLIOTTA, ELISA. "La previsione geometrica: un modello per analizzare un processo cognitivo inerente il problem-solving in geometria." Doctoral thesis, Università degli studi di Modena e Reggio Emilia, 2020. http://hdl.handle.net/11380/1200566.

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La ricerca mira a studiare gli aspetti cognitivi coinvolti nella produzione di previsioni geometriche durante la risoluzione di problemi nell’abito della Geometria Euclidea. Si può considerare il processo di previsione geometrica come una specifica abilità visuo-spaziale coinvolta nel pensiero geometrico. Infatti, durante il processo di risoluzione di un problema geometrico, un solutore può immaginare diverse trasformazioni della figura e i loro effetti; tali trasformazioni possono essere più o meno coerenti con i vincoli teorici dati dal problema. Inoltre, i prodotti di tali trasformazioni

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Ziaeetabar, Fatemeh [Verfasser], Florentin [Akademischer Betreuer] Wörgötter, Florentin [Gutachter] Wörgötter, et al. "Spatio-temporal reasoning for semantic scene understanding and its application in recognition and prediction of manipulation actions in image sequences / Fatemeh Ziaeetabar ; Gutachter: Florentin Wörgötter, Ricarda I. Schubotz, Dieter Hogrefe, Marcus Baum, Carsten Damm, Wolfgang May ; Betreuer: Florentin Wörgötter." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2020. http://d-nb.info/1208918494/34.

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Gribouval, Marie. "Conception d’un système prédictif pour évaluer l’impact d’un dispositif numérique pour l’orientation des lycéens." Electronic Thesis or Diss., Université de Lorraine, 2023. http://www.theses.fr/2023LORR0319.

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Ce projet de thèse contribue au projet national AILES (Accompagnement à l’intégration des Lycéens dans l’Enseignement Supérieur) et s’intéresse plus particulièrement aux dispositifs numériques destinés à l’aide à l’orientation des lycéens. Le terme « dispositif numérique » désigne dans cette thèse l’ensemble des sites web, applications sur mobile et/ou sur ordinateur. Une grande diversité d’informations est présente dans les dispositifs numériques dédiés à l’orientation. Certains d’entre eux proposent des outils d’échanges, tandis que d’autres disposent de témoignages, par exemple. Nous observ

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Wendler, Jan. "Automatisches Modellieren von Agenten-Verhalten." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2003. http://dx.doi.org/10.18452/15008.

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In Multi-Agenten-Systemen (MAS) kooperieren und konkurrieren Agenten um ihre jeweiligen Ziele zu erreichen. Für optimierte Agenten-Interaktionen sind Kenntnisse über die aktuellen und zukünftigen Handlungen anderer Agenten (Interaktionsparter, IP) hilfreich. Bei der Ermittlung und Nutzung solcher Kenntnisse kommt dem automatischen Erkennen und Verstehen sowie der Vorhersage von Verhalten der IP auf Basis von Beobachtungen besondere Bedeutung zu. Die Dissertation beschäftigt sich mit der automatischen Bestimmung und Vorhersage von Verhalten der IP durch einen Modellierenden Agenten (MA). Der M

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"An experimental study of structured classroom intervention in a predictive reasoning task." 1999. http://library.cuhk.edu.hk/record=b5889491.

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by Lam Kam Po Yolanda.<br>Thesis (M.B.A.)--Chinese University of Hong Kong, 1999.<br>Includes bibliographical references (leaves 43-49).<br>ABSTRACT --- p.ii<br>TABLE OF CONTENT --- p.iii<br>LIST OF TABLES --- p.v<br>ACKNOWLEDGEMENT --- p.vi<br>Chapter<br>Chapter I. --- INTRODUCTION --- p.1<br>Organization of the research report --- p.3<br>Chapter II. --- LITERATURE REVIEW --- p.5<br>Studies of reasoning --- p.5<br>Effects of education and intervention --- p.10<br>Summary --- p.12<br>Chapter III. --- STRUCTURED INTERVENTION --- p.13<br>Operationalization of structure --- p.13<br>Th

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Maduma, Eunice Sibongile Sylvia. "The predictive validity of the mental alertness, reading comprehension, arithmetic reasoning and conceptual reasoning tests as used by the Wits Business School." Thesis, 2012. http://hdl.handle.net/10539/11566.

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Leaute, Thomas. "Coordinating Agile Systems through the Model-based Execution of Temporal Plans." 2006. http://hdl.handle.net/1721.1/32537.

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Agile autonomous systems are emerging, such as unmanned aerial vehicles (UAVs), that must robustly perform tightly coordinated time-critical missions; for example, military surveillance or search-and-rescue scenarios. In the space domain, execution of temporally flexible plans has provided an enabler for achieving the desired coordination and robustness, in the context of space probes and planetary rovers, modeled as discrete systems. We address the challenge of extending plan execution to systems with continuous dynamics, such as air vehicles and robot manipulators, and that are controlled in

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"Techniques for Supporting Prediction of Security Breaches in Critical Cloud Infrastructures Using Bayesian Network and Markov Decision Process." Master's thesis, 2015. http://hdl.handle.net/2286/R.I.34910.

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abstract: Emerging trends in cyber system security breaches in critical cloud infrastructures show that attackers have abundant resources (human and computing power), expertise and support of large organizations and possible foreign governments. In order to greatly improve the protection of critical cloud infrastructures, incorporation of human behavior is needed to predict potential security breaches in critical cloud infrastructures. To achieve such prediction, it is envisioned to develop a probabilistic modeling approach with the capability of accurately capturing system-wide causal relatio

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Groves, Julia. "The predictive validity of the Abstract Reasoning Test and the Raven's Advanced Progressive Matrices Test for the academic results of first year engineering students." Thesis, 2015. http://hdl.handle.net/10539/18270.

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A research project submitted in partial fulfilment of the requirements for the degree of MA by coursework and Research Report in the field of Industrial Psychology in the Faculty if Humanities, University of Witwatersrand, Johannesburg, 14 February 2015.<br>This research project examined the predictive validity of the Abstract Reasoning Test and the Raven’s Advanced Progressive Matrices on the academic results of first year engineering students. Additionally, biographical variables were examined in order to assess their contribution to the student’s scores on the psychometric tests. This r

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Bulmer, Michael. "Reasoning by term rewriting." Thesis, 1995. https://eprints.utas.edu.au/18996/1/whole_BulmerMichael1995_thesis.pdf.

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We propose a broad system for reasoning by term rewriting. Our general aim is to capture mathematical and scientific reasoning in a coherent system. To this end we introduce several new processes which allow concrete descriptions of standard notions. For deductive reasoning we extend traditional methods for finding canonical rewrite systems to a general method for systems involving both equations and inequations. We introduce the notion of side conditions for nontheorems and show how they provide a new kind of meta-reasoning whereby an automated reasoner can determine why it failed to

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Lai, Kuan-Hung, and 賴冠宏. "Automobile Sales Prediction Based On Case-Based Reasoning." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/t4pn5y.

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碩士<br>國立勤益科技大學<br>資訊管理系<br>105<br>Recently, due to the signing of the WTO agreement and the ECFA agreement, and the close cooperation among car dealers, the car market in Taiwan has been turned from a closed market that is protected by the government into an open market. Hence, an effective way for car dealers to lower the cost is to make a prediction about car sales. Case-based analysis is a method for making predictions that does not require communication making among various professional fields, so it can raise efficiency of problem-solving. The method adopted in this study is regression an

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Wijaya, Ade Kurnia, and 王安康. "APPLICATION OF CASE-BASED REASONING APPROACH TO OUTDOOR DAYLIGHT PREDICTION." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/vgu979.

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碩士<br>國立臺灣科技大學<br>營建工程系<br>106<br>At early stage of designing a building, a fast and trustable prediction is superbly needed. The designer needs to propose the design of the building to owner within a very limited amount of time when bidding is held. However, simulation is genuinely needed if the designed building is expected to achieve some points in any green building rating system. Handling simulation which has dozens, hundreds building surrounding require huge additional time for modeling and running the model, but implementing and predicting the output of the simulation is really advantag

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Pollak, Sara. "The moderating effects of direct and indirect experience on the attitude-behavior relation in the reasoned and automatic processing modes." 1995. https://scholarworks.umass.edu/theses/2291.

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Wei, Liu Hsin, and 劉信偉. "The Application of Case-Based Reasoning for the Prediction of Stock Price Pattern." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/96776992635776749252.

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碩士<br>長庚大學<br>資訊管理研究所<br>94<br>Case-Based Reasoning is a common and professional computer application program which solves stock market related issues by studying historical cases. In this thesis, Case-Based Reasoning is used to analyze stock trends and patterns in order to benefit investors by predicting buying or selling points to make the most profit out of the transaction. The application accomplishes this by feeding information from the existing cases and making similar graphs and charts to determine where the buying and selling points are. Results from the study confirmed that Case-Base

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Tsai, Ai-jhen, and 蔡艾真. "Partisan Mobilized Reasoning and the Prediction of Closet Partisans'' Party Identification." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/78179600321446463074.

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碩士<br>國立中山大學<br>政治學研究所<br>103<br>Researchers of partisan voters have‭ ‬been assuming‭ ‬that‭ ‬there is a solid difference between‭ ‬“independent”voters and‭ ‬partisan voters‭ (‬including leaners‭). ‬This is hardly a case in the Taiwan context‭,‬‭ ‬a democracy of two-party presidential system‭, ‬where over 40‭ ‬percent of voters are partisans but claiming independent‭ ‬in most of telephone surveys‭.‬‭ ‬Pollsters‭, ‬researchers‭, ‬and journalists‭ ‬have been calculating the distribution of party supporters by either‭ ‬omitting‭ ‬these‭ ‬“independent”‭ ‬voters‭ ‬due to the unavailability of the d

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Knox, Grahame Munro. "Clinical prediction rules in physiotherapy clinical education." Thesis, 2019. http://hdl.handle.net/1959.13/1408731.

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Research Doctorate - Doctor of Philosophy (PhD)<br>Clinical reasoning is an important skill for physiotherapy students to master, though it can be challenging given their limited clinical experience. Tools exist to aid clinical decision-making, and one that is evidence-based is the clinical prediction rule (CPR). CPRs are algorithms that combine patient characteristics and clinical features into numerical indices to predict the probability of a clinical condition or outcome. Physiotherapy clinical educators play a key role in facilitating clinical reasoning skills in students; however it is un

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Tasi, Shiu-Ni, and 蔡岫霓. "The Study of Using Case-based Reasoning to the Prediction System of Debris Flow." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/35497791637332289144.

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碩士<br>逢甲大學<br>土木工程所<br>95<br>There are many factors that cause debris flow, but the credibility of risk assessment is often not high enough, due to of a lack of debris flow cause factor discussion, or only a couple of representative factors are taken. This study uses Case-Based Reasoning (CBR) as the base, and combines the CBR-Works system to develop a New Similarity Measurement method, based on that to establish debris flow CBR system, so we can have relevant assistant information to reduce the loss of life and money in debris flow events. The evaluation of the system reasoning effectiven

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Wang, Yu-Kai, and 王昱凱. "Design and Implementation for Smart Home Systems Based on Grey Prediction and Fuzzy Reasoning." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/cqkq6k.

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碩士<br>國立臺北科技大學<br>電機工程系研究所<br>100<br>In recent years, global weather has caused extreme phenomenon. The family often stays in carbon monoxide poisoning, and the high indoor carbon dioxide concentration causes people uncomfortable, tired or headachy, event vomiting. However, in present market condition, the indoor environmental monitoring system does not do a finer classification for the environmental monitoring level without predict function. In addition, most sensors are wired, and difficult for deployment. Therefore, in order to improve these problems, this paper proposes a grey predicti

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Huang, Cheng-tao, and 黃政道. "Applying Data Mining Approach and Case-Based Reasoning to Develop a Carotid Diagnostic Prediction System." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/46564527470981013878.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>101<br>With the medical technology and people knowledge have been promoted, people are aware that heath examination is important. However, living environment and dietary habit gradually change. Lead to number of patients with chronic illnesses is rising. In which, cerebrovascular disease is the top ten leading causes of death and one of the main reason for the increase in the number of people with disabilities. 　　This study got a brain health examination database from cooperation of medical center. Hope that through data mining techniques and heuristic algorithm appl

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Chen, Po-yu, and 陳柏宇. "An intelligent system for predicting stock trading strategies using case-based reasoning and neural network." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/s864g4.

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碩士<br>國立中山大學<br>資訊工程學系研究所<br>97<br>The rapid growth of the Internet has shaped up the global economy. The stock market information is thus more and more transparent. Although the investors can get more helpful information to judge future trend of the stock market, they may get wrong judgments because the stock market data are too huge to be completely analyzed. Therefore, the purpose of this study is to develop an artificial stock market analyst by employing the information technology with high speed and performance, as well as integrating the artificial intelligence techniques. We exploit cas

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Lin, Shin-Chieh, and 林士傑. "The High Speed Auto-focusing for Industry Inspection Based on Fuzzy Reasoning and Grey Prediction." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/3mq59y.

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碩士<br>國立臺北科技大學<br>自動化科技研究所<br>95<br>This thesis proposes a high speed auto-focusing strategy which dramatic increasing the speed and improving the reliability of the auto-focusing technique. This strategy integrates the fuzzy reasoning and grey prediction algorithm. Firstly, the local and global slopes of sharpness function, calculated by the specified image caught by CCD, are feeding into fuzzy reasoning scheme as input variables. The corresponding moving step is calculated from fuzzy reasoning scheme. Then, the gray prediction model is adapted to predict the peak of the sharpness funct

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Lee, Yun-Chen, and 李昀宸. "Power-Saving Methods Using Grey Prediction and Fuzzy Reasoning to Transmission Power Control for Mobile Sensor Networks." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/9d3mg7.

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碩士<br>國立臺北科技大學<br>電機工程系研究所<br>101<br>In mobile sensor networks, in addition to the energy consumed by the mobile, there 3 kinds of energy consumption of sensor nodes are: transmission, reception and idle. Among them, the maximum energy consumption is data transfer. Therefore, the purpose of the transmission power control (TPC) is to reduce the overhead data transmission, and increase the life of the sensor nodes. Existing sensor network for mobile transmission power control must be offline to create the path prediction model for real-time adjustment of the transmission power, and this approach

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Chiu, Hsiang-Ju, and 邱相茹. "Model establishment of predicting recurrent status of liver cancer patients using multiple measurements case-based reasoning method." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/67529558374992928282.

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碩士<br>國立臺灣大學<br>生醫電子與資訊學研究所<br>101<br>Due to the progress of medicine, clinical data are increased very rapidly and biochemistry laboratory items are multiply measured with the subsequent consultations of patients. These multiple measurements clinical data may become another problem during analysis. This study proposes a practicable method to appropriately handle the clinical data with multiple measurements. Based on the case-based reasoning (CBR) method, we propose a multiple measurements CBR (MMCBR) method, extended from single measurement CBR (SingleCBR), for analyzing clinical data. The re

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Chen, Yu-Chao, and 陳堉照. "Application of Unsupervised Fuzzy Neural Network Reasoning Model for the prediction of the strength of High-Performance Concrete." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/70430347689492363565.

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碩士<br>國立交通大學<br>土木工程系<br>88<br>In addition to the four basic ingredients of the conventional concrete, i.e., Portland cement, fine and coarse aggregates, and water, the making of HPC needs to incorporate the supplementary cementations materials, such as fly ash and blast furnace slag, and chemical admixtures such as superplasticizer. Hence, the characteristics of HPC are much more complex and hard to build an effective model to estimate the strength by mathematical model. Proposed by Hung and Jan, Unsupervised Fuzzy Neural Network(UFN) Reasoning Model has been proved an effective learning mode

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Ziaeetabar, Fatemeh. "Spatio-temporal reasoning for semantic scene understanding and its application in recognition and prediction of manipulation actions in image sequences." Thesis, 2019. http://hdl.handle.net/21.11130/00-1735-0000-0005-1381-3.

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"An Adaptive Approach to Securing Ubiquitous Smart Devices in IoT Environment with Probabilistic User Behavior Prediction." Doctoral diss., 2016. http://hdl.handle.net/2286/R.I.40829.

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abstract: Cyber systems, including IoT (Internet of Things), are increasingly being used ubiquitously to vastly improve the efficiency and reduce the cost of critical application areas, such as finance, transportation, defense, and healthcare. Over the past two decades, computing efficiency and hardware cost have dramatically been improved. These improvements have made cyber systems omnipotent, and control many aspects of human lives. Emerging trends in successful cyber system breaches have shown increasing sophistication in attacks and that attackers are no longer limited by resources, includ

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Daw, Elbait Gihan Elsir Ahmed [Verfasser]. "From cancer gene expression to protein interaction: interaction prediction, network reasoning and applications in pancreatic cancer / by, eingereicht von Gihan Elsir Ahmed Daw Elbait." 2009. http://d-nb.info/1007282223/34.

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"Data Driven Inference in Populations of Agents." Doctoral diss., 2019. http://hdl.handle.net/2286/R.I.53476.

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abstract: In the artificial intelligence literature, three forms of reasoning are commonly employed to understand agent behavior: inductive, deductive, and abductive. More recently, data-driven approaches leveraging ideas such as machine learning, data mining, and social network analysis have gained popularity. While data-driven variants of the aforementioned forms of reasoning have been applied separately, there is little work on how data-driven approaches across all three forms relate and lend themselves to practical applications. Given an agent behavior and the percept sequence, how one ca

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Zolezzi, Stefano Alberto. "The effectiveness of dynamic assessment as an alternative aptitude testing strategy." Thesis, 1995. http://hdl.handle.net/10500/17878.

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The present study sets out to evaluate the effectiveness of a dynamic approach to aptitude testing. It was proposed that it is not always appropriate to use conventional aptitude tests to predict future academic success in the South African context. The study posited the belief that an alternative testing format could be facilitated by using a test-train-test procedure within a learning potential paradigm. The learning potential paradigm as formulated through Vygotskian and Feuersteinian theory is operationalised in the form of a Newtest Battery. The Newtest procedure is in direct contr

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