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Dissertations / Theses on the topic 'Decision Based Algorithm'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

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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2

Sun, Chi. "A constrained MDP-based vertical handoff decision algorithm for wireless networks." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/1243.

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The 4th generation wireless communication systems aim to provide users with the convenience of seamless roaming among heterogeneous wireless access networks. To achieve this goal, the support of vertical handoff is important in mobility management. This thesis focuses on the vertical handoff decision algorithm, which determines the criteria under which vertical handoff should be performed. The problem is formulated as a constrained Markov decision process. The objective is to maximize the expected total reward of a connection subject to the expected total access cost constraint. In our model,

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3

Tobin, Ludovic. "A Stochastic Point-Based Algorithm for Partially Observable Markov Decision Processes." Thesis, Université Laval, 2008. http://www.theses.ulaval.ca/2008/25194/25194.pdf.

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La prise de décision dans un environnement partiellement observable est un sujet d'actualité en intelligence artificielle. Une façon d'aborder ce type de problème est d'utiliser un modèle mathématique. Notamment, les POMDPs (Partially Observable Markov Decision Process) ont fait l'objet de plusieurs recherches au cours des dernières années. Par contre, résoudre un POMDP est un problème très complexe et pour cette raison, le modèle n'a pas été utilisé abondamment. Notre objectif était de continuer les progrès ayant été réalisé lors des dernières années, avec l'espoir que nos travaux de recherch

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4

Trivedi, Ankit P. "Decision tree-based machine learning algorithm for in-node vehicle classification." Thesis, California State University, Long Beach, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10196455.

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<p> This paper proposes an in-node microprocessor-based vehicle classification approach to analyze and determine the types of vehicles passing over a 3-axis magnetometer sensor. The approach for vehicle classification utilizes J48 classification algorithm implemented in Weka (a machine learning software suite). J48 is Quinlan's C4.5 algorithm, an extension of decision tree machine learning based on an ID3 algorithm. The decision tree model is generated from a set of features extracted from vehicles passing over the 3-axis sensor. The features are attributes provided with correct classification

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Bacak, Hikmet Ozge. "Decision Making System Algorithm On Menopause Data Set." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12612471/index.pdf.

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Multiple-centered clustering method and decision making system algorithm on menopause data set depending on multiple-centered clustering are described in this study. This method consists of two stages. At the first stage, fuzzy C-means (FCM) clustering algorithm is applied on the data set under consideration with a high number of cluster centers. As the output of FCM, cluster centers and membership function values for each data member is calculated. At the second stage, original cluster centers obtained in the first stage are merged till the new numbers of clusters are reached. Merging process

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Skipper, Lee R. "Development of a microcomputer-based capital budgeting algorithm for the dynamic decision environment." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/101266.

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The capital budgeting process is conducted in a dynamic, uncertain environment. In each period of the process, a manager has only estimated values for system parameters, project costs, and project returns. The manager must consider project firm's capital among interdependencies the available in allocating the projects. After completing the allocation process in one period, the chosen projects are funded until the end of the next period. These projects are then considered along with new projects and the process is repeated again. The capital budgeting decision in one period is therefore only on

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7

Artita, Kimberly. "Computer-based decision-support methods for hydrological ecosystem services management." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/dissertations/530.

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Changing climates, human population growth, and aging infrastructure threaten the availability and quality of one of life's most vital resources, water. Hydrological ecosystem services are goods and benefits derived from freshwater that include flood damage mitigation, water for agricultural and commercial use, swimmable and navigable waters, and healthy aquatic habitats. Using computer algorithms inspired by biological and ecological processes known as evolutionary algorithms and on-site stormwater management practices such structural best management practices (BMPs) and green stormwater infr

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Abdul, Manaf Norhuda. "MANAGEMENT DECISION SUPPORT SYSTEM OF SOLVENT-BASED POST-COMBUSTION CARBON CAPTURE." Thesis, The University of Sydney, 2016. http://hdl.handle.net/2123/16567.

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A management decision-support framework for a coal-fired power plant with solvent based post combustion CO2 capture (PCC) (integrated plant) is proposed and developed in this thesis. A brief introduction pertaining to the solvent-based PCC technology, thesis motivations and objectives are given in Chapter 1. Chapter 2 comprises a comprehensive literature review of solvent-based PCC plant from the bottom level (PCC instrumentation level) until the top level (managerial decision of PCC system). Chapter 3 describes the development of solvent-based PCC dynamic model via empirical methods. Open-

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Ghasemzadeh, Mohammad. "A new algorithm for the quantified satisfiability problem, based on zero-suppressed binary decision diagrams and memoization." Phd thesis, [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=978444213.

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10

Parandekar, Amey V. "Development of a Decision Support Framework forIntegrated Watershed Water Quality Management and a Generic Genetic Algorithm Based Optimizer." NCSU, 1999. http://www.lib.ncsu.edu/theses/available/etd-19990822-032656.

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<p>PARANDEKAR, AMEY, VIJAY. Development of a Decision Support Framework for Integrated Watershed Water Quality Management and a Generic Genetic Algorithm Based Optimizer. (Under the direction of Dr. S. Ranji Ranjithan.)The watershed management approach is a framework for addressing water quality problems at a watershed scale in an integrated manner that considers many conflicting issues including cost, environmental impact and equity in evaluating alternative control strategies. This framework enhances the capabilities of current environmental analysis frameworks by the inclusion of additional

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11

Mathews, Jim David. "Optimisation and decision support during the conceptual stage of building design : new techniques based on the genetic algorithm." Thesis, University of Plymouth, 2000. http://hdl.handle.net/10026.1/726.

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Modern building design is complex and involves many different disciplines operating in a fragmented manner. Appropriate computer-based decision support (DS) tools are sought that can raise the level of integration of different activities at the conceptual stage, in order to help create better designs solutions. This project investigates opportunities that exist for using techniques based upon the Genetic Algorithm (GA) to support critical activities of conceptual building design (CBD). Collective independent studies have shown that the GA is a powerful optimisation and exploratory search techn

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Parandekar, Amey V. "Development of a decision support framework for integrated watershed water quality management and a Generic Genetic Algorithm Based Optimizer." Raleigh, NC : North Carolina State University, 1999. http://www.lib.ncsu.edu/etd/public/etd-492632279902331/etd.pdf.

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13

Palomino, Daniel Munari Vilchez. "Algorithm and hardware based architectural design targeting the intra-frame prediction of the HEVC video coding standard." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2013. http://hdl.handle.net/10183/70236.

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Este trabalho apresenta uma arquitetura de hardware para a predição intra-quadro do padrão emergente HEVC de codificação de vídeo. O padrão HEVC está sendo desenvolvido tendo como principal objetivo o aumento em 50% na eficiência de compressão, quando comparado com o padrão H.264/AVC, atual padrão estado da arte na codificação de vídeos. Para atingir este objetivo, várias novas ferramentas de codificação foram desenvolvidas para serem introduzidas no novo padrão HEVC. Embora essas novas ferramentas tenham obtido êxito em aumentar a eficiência de compressão do novo padrão HEVC, elas também cola

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Wiggins, Matthew Corbin. "Bayesian based risk stratification of atrial fibrillation in coronary artery bypass graft patients." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/24775.

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Thesis (Ph.D.)--Bioengineering, Georgia Institute of Technology, 2007.<br>Committee Co-Chair: Litt, Brian; Committee Co-Chair: Vachtsevanos, George; Committee Member: Butera, Robert; Committee Member: Frazier, Bruno; Committee Member: Gerstenfeld, Edward; Committee Member: Hunt, William.

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Allard, David M. "A Multi-Objective Genetic Algorithm to Solve Single Machine Scheduling Problems Using a Fuzzy Fitness Function." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1180968613.

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16

Cooksey, Kenneth Daniel. "A portfolio approach to design in the presence of scenario-based uncertainty." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49036.

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Current aircraft conceptual design practices result in the selection of a single (hopefully) Pareto optimal design to be carried forward into preliminary design. This paradigm is based on the assumption that carrying a significant number of concepts forward is too costly and thus early down-selection between competing concepts is necessary. However, this approach requires that key architectural design decisions which drive performance and market success are fixed very early in the design process, sometimes years before the aircraft actually goes to market. In the presence of uncertainty, if t

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CENCI, ANNALISA. "An infrastructure for decision-making to support neonatal clinical care and research." Doctoral thesis, Università Politecnica delle Marche, 2018. http://hdl.handle.net/11566/253144.

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Le culle dei neonati pretermine presso l’Unità di Terapia Intensiva Neonatale (UTIN) dell’Ospedale Pediatrico “G. Salesi” di Ancona sono circondati da numerosi dispositivi per il monitoraggio, la diagnosi e il trattamento delle malattie e forniscono un’enorme quantità di dati che, fino ad ora, venivano visualizzati solo su monitor e trascritti in una cartella clinica cartacea. Le note manuali, quindi, venivano periodicamente, ma non immediatamente, trascritte in un foglio elettronico sul PC della UTIN con il rischio di errori e dimenticanze. I medici hanno espresso la necessità di raccogliere

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Hrabec, Dušan. "Mathematical Programs for Dynamic Pricing - Demand Based Management." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-263401.

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Tato disertační práce se zabývá vývojem, modelováním a analýzou poptávkově orientovaných úloh, které zahrnují marketingová, operační a logistická rozhodnutí. Úlohy jsou zvoleny tak, aby mohly být dále rozšířeny o koncept tzv. dynamického oceňování a jiných dynamických marketingových rozhodnutí. V práci jsou využity dvě základní poptávkově orientované úlohy: a) úloha kolportéra novin, která je zvolena pro její jednoduchou formu a která tak slouží jako nástroj pro ilustrativní ukázky rozhodovacích procesů v podobných typech úloh, a b) úloha návrhu dopravní sítě, kde jsou využity některé výsledky

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Calabrese, Francesca. "Vibration Monitoring and Intelligent Diagnosis Tools for Condition-Based Maintenance." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Ogni impianto di produzione è caratterizzato da periodi di operatività, nei quali funziona correttamente, e da periodi di fermo, dovuti alla presenza di guasti o all’esigenza di effettuare attività volte a ristabilire il suo normale comportamento. L’obiettivo principale della funzione manutenzione è minimizzare i periodi di fermo impianto, al fine di renderlo il più disponibile possibile. Attualmente, la manutenzione basata su condizione (CBM) è una delle più politiche più efficaci adottate dalle industrie. Essa è basata sul monitoraggio di diversi parametri della macchina che ne riflettono

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20

Almejalli, Khaled A. "Intelligent Real-Time Decision Support Systems for Road Traffic Management. Multi-agent based Fuzzy Neural Networks with a GA learning approach in managing control actions of road traffic centres." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4264.

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The selection of the most appropriate traffic control actions to solve non-recurrent traffic congestion is a complex task which requires significant expert knowledge and experience. In this thesis we develop and investigate the application of an intelligent traffic control decision support system for road traffic management to assist the human operator to identify the most suitable control actions in order to deal with non-recurrent and non-predictable traffic congestion in a real-time situation. Our intelligent system employs a Fuzzy Neural Networks (FNN) Tool that combines the capabilities o

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21

Gilbert, Hugo. "Oracle-based algorithms for optimizing sophisticated decision criteria in sequential, robust and fair decision problems." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066648.

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Cette thèse s'inscrit dans le cadre de la théorie de la décision algorithmique, qui est une discipline au croisement de la théorie de la décision, la recherche opérationnelle et l'intelligence artificielle. Dans cette thèse, nous étudions l'utilisation de plusieurs modèles décisionnels pour résoudre des problèmes de décision séquentielle dans l'incertain, d'optimisation robuste, et d'optimisation multi-agents équitable. Pour résoudre efficacement ces problèmes, nous utilisons des méthodes de type maître-esclaves, dites à base d'oracles dans la thèse. Ces méthodes permettent de résoudre des pro

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Gilbert, Hugo. "Oracle-based algorithms for optimizing sophisticated decision criteria in sequential, robust and fair decision problems." Electronic Thesis or Diss., Paris 6, 2017. http://www.theses.fr/2017PA066648.

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Cette thèse s'inscrit dans le cadre de la théorie de la décision algorithmique, qui est une discipline au croisement de la théorie de la décision, la recherche opérationnelle et l'intelligence artificielle. Dans cette thèse, nous étudions l'utilisation de plusieurs modèles décisionnels pour résoudre des problèmes de décision séquentielle dans l'incertain, d'optimisation robuste, et d'optimisation multi-agents équitable. Pour résoudre efficacement ces problèmes, nous utilisons des méthodes de type maître-esclaves, dites à base d'oracles dans la thèse. Ces méthodes permettent de résoudre des pro

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Mohanty, Pragyan Paramita. "Function-based Algorithms for Biological Sequences." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/dissertations/1120.

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AN ABSTRACT OF THE DISSERTATION OF PRAGYAN P. MOHANTY, for the Doctor of Philosophy degree in ELECTRICAL AND COMPUTER ENGINEERING, presented on June 11, 2015, at Southern Illinois University Carbondale. TITLE: FUNCTION-BASED ALGORITHMS FOR BIOLOGICAL SEQUENCES MAJOR PROFESSOR: Dr. Spyros Tragoudas Two problems at two different abstraction levels of computational biology are studied. At the molecular level, efficient pattern matching algorithms in DNA sequences are presented. For gene order data, an efficient data structure is presented capable of storing all gene re-orderings in a systematic m

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Wang, Jiabin. "Variational Bayes inference based segmentation algorithms for brain PET-CT images." Thesis, The University of Sydney, 2012. https://hdl.handle.net/2123/29251.

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Dual modality PET-CT imaging can provide aligned anatomical (CT) and functional (PET) images in a single scanning session, and has nowadays steadily replaced single modality PET imaging in clinical practice. The enormous number of PET-CT images produced in hospitals are currently analysed almost entirely through visual inspection on a slice-by-slice basis, which requires a high degree of skill and concentration, and is time-consuming, expensive, prone to operator bias, and unsuitable for the processing large-scale studies. Computer-aided diagnosis, where image segmentation is an essential step

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Fasting, Johan. "Multi-objective optimisation : Elitism in discrete and highly discontinuous decision spaces." Thesis, Högskolan i Skövde, Institutionen för kommunikation och information, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5237.

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Multi-objective optimisation focuses on optimising multiple objectives simultanuously. Evolutionary and immune-based algorithms have been developed in order to solve multi-objective optimisation problems. These algorithms often include a property called elitism, a method of preserving good solutions. This study has focused on how different approaches of elitism affect an algorithm's ability to find optimal solutions in a multi-objective optimisation problem with a discrete and highly discontinuous decision space. Three state-of-the-art algorithms, NSGA-II, SPEA2+ and NNIA2, were implemented, v

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Riauke, Jelena. "SPEA2-based safety system multi-objective optimization." Thesis, Loughborough University, 2009. https://dspace.lboro.ac.uk/2134/5514.

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Safety systems are designed to prevent the occurrence of certain conditions and their future development into a hazardous situation. The consequence of the failure of a safety system of a potentially hazardous industrial system or process varies from minor inconvenience and cost to personal injury, significant economic loss and death. To minimise the likelihood of a hazardous situation, safety systems must be designed to maximise their availability. Therefore, the purpose of this thesis is to propose an effective safety system design optimization scheme. A multi-objective genetic algorithm has

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Yusuf, Syed Adnan. "An evolutionary AI-based decision support system for urban regeneration planning." Thesis, University of Wolverhampton, 2010. http://hdl.handle.net/2436/114896.

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The renewal of derelict inner-city urban districts suffering from high levels of socio-economic deprivation and sustainability problems is one of the key research areas in urban planning and regeneration. Subject to a wide range of social, economical and environmental factors, decision support for an optimal allocation of residential and service lots within such districts is regarded as a complex task. Pre-assessment of various neighbourhood factors before the commencement of actual location allocation of various public services is considered paramount to the sutainable outcome of regeneration

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PRADO, LOPES FILHO EUDES. "Algorithmes de synthese de circuits programmables bases sur des graphes de decision binaire." Paris 6, 1996. http://www.theses.fr/1996PA066752.

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Cette these decrit une methode d'optimisation globale pour la synthese des circuits programmables. Ces techniques reposent sur l'utilisation des multi-robdd (graphes de decision binaires a sorties multiples) comme structure de representation du circuit a synthetiser. Ces techniques permettent une optimisation visant une architecture cible a partir de la description vhdl du circuit. L'exploration de l'espace des solutions au cours du processus d'optimisation, consiste essentiellement a rechercher le meilleur ordonnancement possible des variables du point de vue de la decomposition du multi-robd

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Unceta, Irene. "Adapting by copying. Towards a sustainable machine learning." Doctoral thesis, Universitat de Barcelona, 2021. http://hdl.handle.net/10803/671692.

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Despite the rapid growth of machine learning in the past decades, deploying automated decision making systems in practice remains a challenge for most companies. On an average day, data scientists face substantial barriers to serving models into production. Production environments are complex ecosystems, still largely based on on-premise technology, where modifications are timely and costly. Given the rapid pace with which the machine learning environment changes these days, companies struggle to stay up-to-date with the latest software releases, the changes in regulation and the newest marke

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Santos, Genildo Nascimento dos. "Um sistema evolutivo de apoio a tomada de decisão: um estudo de caso em compra eletrônica." Universidade Federal de Alagoas, 2009. http://repositorio.ufal.br/handle/riufal/829.

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The performance of data manipulation through a search engine in e-commerce systems using decision support systems can be considered a complex process due to lots of information and may grow exponentially, according to research performed by the user for acquisition of equipment electronics. The import information collected by the system may influence the time to answer during the course of the search engine in accordance with the user s request. This works proposes a hybrid approach using database and genetic algorithm based on abstract data types (GAADT), to reduce the data of database dimensi

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Chiu, Chun-Chieh, and 邱俊傑. "CUDT: A CUDA Based Decision Tree Algorithm." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/88189185018035112843.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>99<br>Classification is an important issue both in Machine Learning and Data Mining. Decision tree is one of the famous classification models. In the reality case, the dimension of data is high and the data size is huge. Building a decision in large data base cost much time in computation. It is a computationally expensive problem. GPU is a special design processor of graphic. The highly parallel features of graphic processing made today’s GPU architecture. GPGPU means use GPU to solve non-graphic problems which need amounts of computation power. Since the high p

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Wu, Chang-Wei, and 吳昶緯. "Fast Soft-Decision Decoding Algorithm Based on Error Weights." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/82842691690366908029.

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碩士<br>長庚大學<br>電機工程研究所<br>96<br>A new fast soft-decision decoding algorithm for binary linear block codes is proposed in this thesis. Different than other algorithms using the threshold base on the signal-to-noise ratio to stop the decoding process, the proposed algorithm utilizes the flip of the least reliable bit according to the error weights to reduce the computational complexity. This reduces the computational complexity compared to the Chase algorithm which needs to test large amount of error patterns. The purpose of the thesis is to present a new approach to reduce a significant amount o

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Shiau, Fang-Jr, and 蕭方智. "Developing a Hierarchical Particle Swarm based Fuzzy Decision Tree Algorithm." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/38520035342800327252.

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碩士<br>元智大學<br>工業工程與管理學系<br>93<br>Decision tree is one of most common techniques for classification problems in data mining. Recently, fuzzy set theory has been applied to decision tree construction to improve its performance. However, how to design flexile fuzzy membership functions for each attribute and how to reduce the total number of rules and improve the classification interpretability are two major concerns. To solve the problems, this research proposes a hieratical particle swarm optimization to develop a fuzzy decision tree algorithm (HPS-FDT). In this proposed HPS-FDT algorithm, all

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Yang, Han-Sheng, and 楊漢聲. "In-Depth Analysis of Fatal Falls Based on Genetic Algorithm Based Decision Tree." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/82358651462001226453.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>96<br>The current study analyzed 414 falling fatalities of construction industry from the years 2001 to 2005 since falling fatalities was the first leading cause of occupational fatality in Taiwan. Each accident was analyzed in terms of individual factors (age, gender, experience level of the victim), task factors (performing tasks), environmental factors (falling site), management factors (the company size measured by number of workers, safety equipment and use of personal protective equipment), cause of fall, and other relevant factors were coded for the analysis.

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Li, Zong-Xian, and 李宗憲. "GASd: a GA-based Strategy Decision Algorithm for Rearranging Virtual Machines." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/y523bw.

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碩士<br>國立交通大學<br>電機工程學系<br>104<br>In cloud computing, users can save hardware cost by using cloud resources provided and managed by cloud service provider (CSP). If an inappropriate distribution strategy is applied and a load unbalancing situation occurs, the virtual machines run on an overloading host can not work well. Thus, keeping load balancing is an issue for a CSP. In this research, we present a resource reallocating framework for a CSP to manage resources and keep physical machines in a load balanced state. The proposed framework uses probes to collect CPU utilization data and send the

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Lin, Zi-Yan, and 林子晏. "A Distributed Decision Generation Algorithm based on Granular Computing Using Spark." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/8tkurr.

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碩士<br>國立中央大學<br>資訊工程學系<br>105<br>The DGAGC algorithm, developed by National Central University, is a classification algorithm based on association-rule mining and searching. The DGAGC algorithm also specifies a distributed computing approach for model training, which is implemented on top of Hadoop MapReduce. In this study, we propose a new distributed computing approach for the DGAGC algorithm based on Apache Spark. With the support of in-memory computing by Spark, the new distributed DGAGC algorithm can achieve less average execution time for model training, given four different training dat

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Yu, Chung-Hsuan, and 游忠軒. "The Location Decision of Electric Scooter Refuel Stations Based on Algorithm Development." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/90476701914589610249.

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碩士<br>東海大學<br>工業工程與經營資訊學系<br>103<br>The difference between electric scooters and traditional scooters was the durability. Setting the infrastructure completely was a necessary factor to promote electric scooters successfully. Our research discuss the optimal location problem of setting refuel stations. This issue is classified as a location-allocation problem. There were two types of refuel stations, recharge station and battery exchange station. The singular setting mold would decrease the utility of refuel stations or could not serve the most user. Different population density and land cost

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Li, Nian-Rong, and 李念容. "A Fast TU Mode Decision Algorithm Based on Residual Difference for HEVC." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/00732314656244230310.

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碩士<br>國立中央大學<br>通訊工程學系<br>104<br>High Efficiency Video Coding (HEVC) is the latest standard of video compression. The residual quadtree (RQT) coding structure, which provides many kinds of transform size for various characteristics of video, is adopted in HEVC to achieve high coding efficiency. However, compared with previous standards, HEVC increase encoding complexity significantly due to the advanced encoding structure. Thus, to develop a method that can efficiently reduce TU encoding time is necessary. A Fast TU Mode Decision Algorithm Based on Residual Difference is proposed in this thesi

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Peng, Kang-Huan, and 彭康桓. "A Decision Generation Algorithm with Hyper-Rectangle Covers based on Granular Computing." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/97865213220524946069.

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碩士<br>國立中央大學<br>資訊工程學系<br>101<br>Discretization and feature selection are essential preprocessing techniques in many data mining and knowledge discovery tasks. The main goal of discretization is to transform a set of quantitative data into qualitative data; the main goal of feature selection is to select relative attributes for model reduction that obtains the optimal attribute subsets using selected measures, in order to achieve better accuracy or efficiency. With the preprocessing techniques, the preprocessed data can be regarded as the simplified and concise representation of information, w

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LIOU, YI-HGIH, and 劉奕志. "Based on Decision Trees Algorithm and Information Visualization to Detect Trojans Malware." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/61961173392357896016.

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碩士<br>國立雲林科技大學<br>資訊管理系碩士班<br>101<br>Trojan virus is the main cause of today''s cyber threats, through Trojan viruses lurking in the victim host, steal user information and endanger the user''s information security. Currently used by antivirus software feature library, although detect known viruses have a very high detection rate, but for unknown Trojan virus detection rate is very low. Therefore, this study proposed by Windows Api to detect viruses, Trojans by common between the behaviors. Then Trojan-samples visualization by network visualization software for layout algor

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Lakshmanan, K. "Online Learning and Simulation Based Algorithms for Stochastic Optimization." Thesis, 2012. http://etd.iisc.ac.in/handle/2005/3245.

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In many optimization problems, the relationship between the objective and parameters is not known. The objective function itself may be stochastic such as a long-run average over some random cost samples. In such cases finding the gradient of the objective is not possible. It is in this setting that stochastic approximation algorithms are used. These algorithms use some estimates of the gradient and are stochastic in nature. Amongst gradient estimation techniques, Simultaneous Perturbation Stochastic Approximation (SPSA) and Smoothed Functional(SF) scheme are widely used. In this thesis we hav

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Lakshmanan, K. "Online Learning and Simulation Based Algorithms for Stochastic Optimization." Thesis, 2012. http://hdl.handle.net/2005/3245.

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In many optimization problems, the relationship between the objective and parameters is not known. The objective function itself may be stochastic such as a long-run average over some random cost samples. In such cases finding the gradient of the objective is not possible. It is in this setting that stochastic approximation algorithms are used. These algorithms use some estimates of the gradient and are stochastic in nature. Amongst gradient estimation techniques, Simultaneous Perturbation Stochastic Approximation (SPSA) and Smoothed Functional(SF) scheme are widely used. In this thesis we hav

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Rong-Jen, Chang. "A Soft-Decision Decoding Algorithm for Reed-Solomon Codes Based on Symbol Reliability." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0016-1303200709315022.

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Chang, Rong-Jen, and 張榮仁. "A Soft-Decision Decoding Algorithm for Reed-Solomon Codes Based on Symbol Reliability." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/64598083573636186476.

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碩士<br>國立清華大學<br>電機工程學系<br>94<br>In this thesis, we propose a soft-decision decoding algorithms for Reed-Solomon codes based on symbol reliability. 　Our algorithm starts from the relationship between RS codewords and polynomials over a finite field. For an (n, k, d) RS code C over a finite field F, every codeword corresponds to a polynomial with degree less than k. Our algorithm defines a subset of F composed of locators corresponding to least reliable positions, then works on a subset of C corresponding to polynomials without any root in the specified subset of F. All polynomials without a

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Hui-WenTien and 田惠文. "A Genetic Algorithm-Based Multi-Characteristic Decision-Making Grouping Strategy for Collaborative Learning." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/17488142291821671414.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>101<br>In collaborative learning, previous researches indicated that well-balanced groups could enhance students’ learning performance. However, to construct well-balanced groups for large number of students with multiple characteristics will cost considerable efforts and time to instructors. Hence, how to automatically construct well-balanced learning groups has been an important issue in collaborative learning. This thesis proposes a new grouping strategy based on genetic algorithm (GA) with Technique for Order Performance by Similarity to Ideal Solution (TOPSIS

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Li-JenLi and 李禮真. "Fast Mode Decision Algorithm for Multi-view Video Coding Based on Disparity Information." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/73296760311069894573.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>101<br>With the rapid development of video techniques, various applications of 3D video provide viewers a new viewing sensation. Joint Video Team (JVT) started working on the multi-view video coding (MVC) extension for H.264 video coding. The MVC extension achieves higher coding efficiency by not only inheriting from H.264 video standard but also including the inter-view correlation between neighboring views. However, the computational complexity obviously increases as well. Therefore, how to reduce the computational complexity effectively has become an important

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Yang, Shih-Shien, and 楊士賢. "Fast Inter Mode Decision Algorithm Based on MB Temporal Correlation in H.264." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/70730714044687062552.

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碩士<br>中華大學<br>資訊工程學系(所)<br>95<br>Variable block size used for inter coding is one of the key technologies in H.264/AVC. These seven block sizes partition a macroblock into several parts. When different objects contained in the same macroblock have different motions, smaller block sizes probably achieve better predictions. However, this feature results in extremely high computational complexity when all the block sizes are considered to decide a best one. This paper proposes a fast inter mode decision algorithm to reduce the numbers of inter mode that has to be checked, and the time is also red

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Tsai, Pei-Chun, and 蔡珮均. "A Prediction Module for Taiwanese Tone Sandhi Based on the Decision Tree Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/12628838193618456767.

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碩士<br>國立中興大學<br>資訊科學與工程學系所<br>100<br>Taiwanese Tone sandhi is one of the important research issues for Taiwanese Text-to-Speech systems. The aim of this study is to predict the tone sandhi of every syllable in one sentence. In general, a multi-character word usually ends with the basic tone at the final syllable and with tone sandhi at the other syllables. The tone sandhi becomes more difficult to predict in a sentence because of its syntactic phrases. We adopt Decision tree C5.0 algorithm accompanied with three Special Cases generated from training data to predict the tone sandhi of each syll

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Yang, Yu-Sheng, and 楊育盛. "A 3.125 Gb/s Blind Decision Feedback Equalizer Based on Constant Modulus Algorithm." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/06138478603911017218.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>101<br>In high speed wireline communications, the frequency-dependent channel loss is an important issue. The equalizer is an effective method to resolve the frequency- dependent signal attenuation problem in wireline communications. This thesis realizes an on-chip constant-modulus-algorithm(CMA)-based decision feedback equalizer (DFE) to overcome the problem. The CMA is a blind equalization method, so it does not need a training sequence. Thus, the adaptive mechanism can be completely implemented on chip. The wireline we consider in this thesis is the RG58A/U coaxi

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Wey, Yu-Che, and 魏煜哲. "Fast Mode Decision Algorithm Based on Probability Models Analysis for Scalable Video Coding." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/53999461701731323006.

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碩士<br>國立東華大學<br>電機工程學系<br>101<br>This thesis presents a fast mode decision for scalable video coding with spatial and quality scalabilities. We first analyze the correlation between the final mode and the motion vector predictor/number of non-zero coefficients of 16×16 mode in enhancement layer. According to the statistical results, we find the appropriate probability models. The proposed algorithm can reduce the number of modes required to be tested and find the suitable mode rapidly. We utilize the correlation of RD-Cost between the base layer and the enhancement layer to provide higher perf

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