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Dissertations / Theses on the topic 'Training data analysis'

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

Muhammad, Azhar Ranjha, and Adnan Ghalib Ahmad. "Data Analysis and Graph Presentation of Team Training Data." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-66998.

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This Report illustrates the team training system presentation as a web based graphs.The research is done based on the presentation of web information stored in database into the graphicalform. Ice-Faces with SQL database at back end data source is the way to demonstrate the implementationof graph system. By having research and comparisons it is found suitably best the Graph generating systemfor analysis of C3fire records.Several models for graphs are been selected for the illustration of best visualization of the demography andat last one with best demonstration of result is selected.The infor

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2

Boyer, Jane D. "The manpower personnel, and training analysis subspecialists: an analysis of historical data." Thesis, Monterey, California. Naval Postgraduate School, 1985. http://hdl.handle.net/10945/21420.

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3

Li, Jiawei. "Person re-identification with limited labeled training data." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/541.

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With the growing installation of surveillance video cameras in both private and public areas, it is an immediate requirement to develop intelligent video analysis system for the large-scale camera network. As a prerequisite step of person tracking and person retrieval in intelligent video analysis, person re-identification, which targets in matching person images across camera views is an important topic in computer vision community and has been received increasing attention in the recent years. In the supervised learning methods, the person re-identification task is formulated as a classifica

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Qu, Lizhen [Verfasser], and Gerhard [Akademischer Betreuer] Weikum. "Sentiment analysis with limited training data / Lizhen Qu. Betreuer: Gerhard Weikum." Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2013. http://d-nb.info/1053680104/34.

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Ericson, Anton. "Object Recognition Using Digitally Generated Images as Training Data." Thesis, Uppsala universitet, Bildanalys och människa-datorinteraktion, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-200158.

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Object recognition is a much studied computer vision problem, where the task is to find a given object in an image. This Master Thesis aims at doing a MATLAB implementation of an object recognition algorithm that finds three kinds of objects in images: electrical outlets, light switches and wall mounted air-conditioning controls. Visually, these three objects are quite similar and the aim is to be able to locate these objects in an image, as well as being able to distinguish them from one another. The object recognition was accomplished using Histogram of Oriented Gradients (HOG). During the t

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Landreth, Brant T. "Analysis of surface ships engineering readiness and training." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Mar%5FLandreth.pdf.

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7

Smith, Gregory Edward. "A Deterministic Approach to Partitioning Neural Network Training Data for the Classification Problem." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/28710.

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The classification problem in discriminant analysis involves identifying a function that accurately classifies observations as originating from one of two or more mutually exclusive groups. Because no single classification technique works best for all problems, many different techniques have been developed. For business applications, neural networks have become the most commonly used classification technique and though they often outperform traditional statistical classification methods, their performance may be hindered because of failings in the use of training data. This problem can be exac

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Rankin, Jenny Grant. "Over-the-Counter Data's Impact on Educators' Data Analysis Accuracy." Thesis, Northcentral University, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3575082.

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<p>There is extensive research on the benefits of making data-informed decisions, but research also contains evidence many educators incorrectly interpret student data. Meanwhile, the types of detailed labeling on over-the-counter medication have been shown to improve use of <i>non</i>-medication products, as well. However, data systems most educators use to analyze student data usually display data without supporting guidance concerning the data's proper analysis. In this dissertation, the data-equivalent to over-the-counter medicine is termed <i>over-the-counter data:</i> essentially, enlist

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Little, Ann M. "Perceived Training Needs of Principals in Northeast Tennessee: Analysis of Data in Two Selected Years." Digital Commons @ East Tennessee State University, 1988. https://dc.etsu.edu/etd/2719.

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The problem of this study was to compare perceived training needs of public school administrators at two points in time and to analyze those needs as to age, sex, educational degree, and experience of respondents. The survey population consisted of public school principals in the 14 systems of the First Educational District in Northeast Tennessee. A descriptive research design was chosen for the study. A follow-up questionnaire was developed based on the 1986 Brown Survey which surveyed the same population for demographic and professional characteristics in addition to the perc

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Snyder, Katie. "An Evaluation of a Computer-Based Training on the Visual Analysis of Single-Subject Data." DigitalCommons@USU, 2013. https://digitalcommons.usu.edu/etd/1964.

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Visual analysis is the primary method of analyzing data in single-subject methodology, which is the predominant research method used in the fields of applied behavior analysis and special education. Previous research on the reliability of visual analysis suggests that judges often disagree about what constitutes an intervention effect. Considering that visual analysis involves a complex set of discriminations and sometimes produces disagreement among experts, it is particularly important to examine methods to train individuals to visually analyze data. Only a handful of studies have investi

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Fleming, Courtney V. "An Examination Of the Effects Of a Video-based Training Package On Professional Staff’s Implementation Of a Brief Functional Analysis and Data Analysis." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1313608330.

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12

Kennett, Robert James. "Implications for the selection and training of hostage negotiators, through an analysis of hostage negotiation data." Thesis, University of Hull, 2009. http://hydra.hull.ac.uk/resources/hull:15169.

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This thesis relates the empirical research to a broad background of globalisation and national policy relevant to this topic. It centres on identifying the implications for the selection and training of hostage negotiators and it seeks to achieve this by analysing deployment data and by exploring the experiences and perceptions of senior police officers involved in this field. This thesis consists of seven chapters in all. The first chapter provides a brief introduction to the background of the research and places the subject into context. Furthermore, it signals the significance of this uniqu

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Cordova, Hector. "Analysis of a parallelized neural network training program implemented using MPI and RPCs." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Ramnerö, David. "Semi-automatic Training Data Generation for Cell Segmentation Network Using an Intermediary Curator Net." Thesis, Uppsala universitet, Bildanalys och människa-datorinteraktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-332724.

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In this work we create an image analysis pipeline to segment cells from microscopy image data. A portion of the segmented images are manually curated and this curated data is used to train a Curator network to filter the whole dataset. The curated data is used to train a separate segmentation network to improve the cell segmentation. This technique can be easily applied to different types of microscopy object segmentation.

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15

Madrigali, Andrea. "Analysis of Local Search Methods for 3D Data." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016.

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In questa tesi sono stati analizzati alcuni metodi di ricerca per dati 3D. Viene illustrata una panoramica generale sul campo della Computer Vision, sullo stato dell’arte dei sensori per l’acquisizione e su alcuni dei formati utilizzati per la descrizione di dati 3D. In seguito è stato fatto un approfondimento sulla 3D Object Recognition dove, oltre ad essere descritto l’intero processo di matching tra Local Features, è stata fatta una focalizzazione sulla fase di detection dei punti salienti. In particolare è stato analizzato un Learned Keypoint detector, basato su tecniche di apprendimento d

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Gebremeskel, Ermias. "Analysis and Comparison of Distributed Training Techniques for Deep Neural Networks in a Dynamic Environment." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231350.

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Deep learning models' prediction accuracy tends to improve with the size of the model. The implications being that the amount of computational power needed to train models is continuously increasing. Distributed deep learning training tries to address this issue by spreading the computational load onto several devices. In theory, distributing computation onto N devices should give a performance improvement of xN. Yet, in reality the performance improvement is rarely xN, due to communication and other overheads. This thesis will study the communication overhead incurred when distributing deep l

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Єфіменко, Тетяна Михайлівна, Татьяна Михайловна Ефименко, Tetiana Mykhailivna Yefimenko, Олена Владиславівна Коробченко, Елена Владиславовна Коробченко, and Olena Vladyslavivna Korobchenko. "Informational Extreme Cluster Analysis of Input Data." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/47076.

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The categorical model and decision support system learning algorithm are considered in the article. Proposed algorithm allows to create decision support system, which is functioning in a clusteranalysis state. Synthesis of the decision support system is based on maximization of informational system ability due to making additional information restrictions in the learning process.

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Kane-Sellers, Marjorie Laura. "Predictive models of employee voluntary turnover in a North American professional sales force using data-mining analysis." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1486.

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Teljstedt, Erik Christopher. "Separating Tweets from Croaks : Detecting Automated Twitter Accounts with Supervised Learning and Synthetically Constructed Training Data." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192656.

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In this thesis, we have studied the problem of detecting automated Twitter accounts related to the Ukraine conflict using supervised learning. A striking problem with the collected data set is that it was initially lacking a ground truth. Traditionally, supervised learning approaches rely on manual annotation of training sets, but it incurs tedious work and becomes expensive for large and constantly changing collections. We present a novel approach to synthetically generate large amounts of labeled Twitter accounts for detection of automation using a rule-based classifier. It significantly red

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Thorstensson, Mirko. "Using Observers for Model Based Data Collection in Distributed Tactical Operations." Licentiate thesis, Linköping : Department of Computer and Information Science, Linköpings universitet, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15620.

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Etheredge, Corrie. "Willingness to Adopt Restorative Discipline in Schools: An Analysis of Northwest Justice Forum Pre-Training on Restorative Justice and Schools Survey Data." Thesis, University of Oregon, 2014. http://hdl.handle.net/1794/18550.

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Concerns over skyrocketing school disciplinary rates have driven the search for alternative methods to address disruptive student behavior. Restorative disciplinary practices are a promising option for our nation's schools. This investigation explores the willingness of educators to adopt restorative discipline by analyzing survey data from the Northwest Justice Forum Pre-Training on Restorative Justice in Schools. Data analysis was conducted using the Theory of Planned Behavior as a model for understanding and predicting future behavior--in this instance, willingness to be contacted for more

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Chang, Amanda. "An analysis of vocational training in the field of technology at the community college level relative to meeting the needs of business and industry." CSUSB ScholarWorks, 1995. https://scholarworks.lib.csusb.edu/etd-project/1030.

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Kamenský, Zdeněk. "Komplexní on-line tréninkový deník." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445528.

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Design and implementation of online training diary for athletes is the main goal of this thesis. At the beginning, it was necessary to explain some of key words, related to the thesis topic. One of the most important things is data mining and its usability for sports data analysis. After that, existing solutions of sport applications were analyzed and also it was obligatory to analyze potential users requirements. Application design, implementation and testing were the next steps. Some of data mining methods were used for analysis of sports data intended for individual athletes and their coach

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Mozaffari, Maaref Mohammad Hamed. "A Real-Time and Automatic Ultrasound-Enhanced Multimodal Second Language Training System: A Deep Learning Approach." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/40477.

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The critical role of language pronunciation in communicative competence is significant, especially for second language learners. Despite renewed awareness of the importance of articulation, it remains a challenge for instructors to handle the pronunciation needs of language learners. There are relatively scarce pedagogical tools for pronunciation teaching and learning, such as inefficient, traditional pronunciation instructions like listening and repeating. Recently, electronic visual feedback (EVF) systems (e.g., medical ultrasound imaging) have been exploited in new approaches in such a way

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Chen, Beichen, and Amy Jinxin Chen. "PCA based dimensionality reduction of MRI images for training support vector machine to aid diagnosis of bipolar disorder." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259621.

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This study aims to investigate how dimensionality reduction of neuroimaging data prior to training support vector machines (SVMs) affects the classification accuracy of bipolar disorder. This study uses principal component analysis (PCA) for dimensionality reduction. An open source data set of 19 bipolar and 31 control structural magnetic resonance imaging (sMRI) samples was used, part of the UCLA Consortium for Neuropsychiatric Phenomics LA5c Study funded by the NIH Roadmap Initiative aiming to foster breakthroughs in the development of novel treatments for neuropsychiatric disorders. The ima

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Huatuco, Santos Gustavo. "Soccer Coach Decision Support System." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15136/.

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The savage essence and nature of sports means those who work on it hunt for the win. The sport enterprise is undergoing a gigantic digital transformation focused on imaging, real time and data analysis employed in the competitions. Conventional process methods in sports management such as fitness and health establishments, training, growth and match or game realisation are all being revolutionized by the sport digitization. In team sports it is well known that is needful an enough and simple digital methodology to organize and construct a feasible strategy. Digitization in sports is perpetuall

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Almeida, Carolina Porto de. "Ensinando professoras a analisar o comportamento do aluno: análise e interpretação de dados como parte de uma análise de contingências." Pontifícia Universidade Católica de São Paulo, 2009. https://tede2.pucsp.br/handle/handle/16847.

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Made available in DSpace on 2016-04-29T13:18:11Z (GMT). No. of bitstreams: 1 Carolina Porto de Almeida.pdf: 1590702 bytes, checksum: 48a16ba9ae0ac65f8d1533e382419465 (MD5) Previous issue date: 2009-04-29<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Many studies about functional analysis (or contingency analysis) can be found in the literature and they are inserted in a diversity of research lines. The present study is part of a research line that employs the method proposed by Iwata, Dorsey, Slifer, Bauman e Richman (1982/1994) of systematic manipulation of environmental

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Макогон, Роман Олександрович. "Прогноз курсу криптовалюти Bitcoin на основі мереж Байєса". Master's thesis, КПІ ім. Ігоря Сікорського, 2019. https://ela.kpi.ua/handle/123456789/32006.

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У світі працюють ефективні рішення побудовані на базі Блокчейн, такі як наприклад Біткоін - інноваційна мережа платежів та цифрова валюта. З цією технологією тісно пов’язані великі дані. Одна з галузей, що зараз активно накопичує такі дані – біржі обміну криптовалют – Binance, EXMO, Bittrex, та інші. Наразі існує потреба в інструментах, які дозволяють аналізувати такі дані, щоб отримувати корисну інформацію, придатну для комерційного застосування. Мережі Байєса є ефективним інструментом для вирішення цієї задачі. Метою дослідження є створення системи підтримки прийняття рішень (СППР), що приз

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Jörke, Desireé, Melanie Vielstich, and Anzhela Preissler. "Digitaler Wissenstransfer in der beruflichen Bildung: Potentiale eines Online-Berichtsheftes." TUDpress, 2020. https://tud.qucosa.de/id/qucosa%3A74159.

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Durch den Einsatz digitaler Technologien ergeben sich auch im Rahmen der beruflichen Bildung neue Möglichkeiten zur digitalisierten Dokumentation von Wissen und Verfügbarmachung von Informationen für die beteiligten Alteurinnen und Akteure. Dieser Beitrag zeigt, inwiefern eine digitale Lernortkooperation unter Gesichtspunkten des Wissenstransfers mithilfe eines Online-Berichtsheftes umgesetzt werden kann. Dazu wird das vom BMBF geförderte Verbundprojekt ‚Diffusion digitaler Technologien in der beruflichen Bildung durch Lernortkooperation‘ (DiBBLok) vorgestellt und inblicke in die Ergebnisse ei

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Ramraj, Varun. "Exploiting whole-PDB analysis in novel bioinformatics applications." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:6c59c813-2a4c-440c-940b-d334c02dd075.

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The Protein Data Bank (PDB) is the definitive electronic repository for experimentally-derived protein structures, composed mainly of those determined by X-ray crystallography. Approximately 200 new structures are added weekly to the PDB, and at the time of writing, it contains approximately 97,000 structures. This represents an expanding wealth of high-quality information but there seem to be few bioinformatics tools that consider and analyse these data as an ensemble. This thesis explores the development of three efficient, fast algorithms and software implementations to study protein struct

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Denecker, Thomas. "Bioinformatique et analyse de données multiomiques : principes et applications chez les levures pathogènes Candida glabrata et Candida albicans Functional networks of co-expressed genes to explore iron homeostasis processes in the pathogenic yeast Candida glabrata Efficient, quick and easy-to-use DNA replication timing analysis with START-R suite FAIR_Bioinfo: a turnkey training course and protocol for reproducible computational biology Label-free quantitative proteomics in Candida yeast species: technical and biological replicates to assess data reproducibility Rendre ses projets R plus accessibles grâce à Shiny Pixel: a content management platform for quantitative omics data Empowering the detection of ChIP-seq "basic peaks" (bPeaks) in small eukaryotic genomes with a web user-interactive interface A hypothesis-driven approach identifies CDK4 and CDK6 inhibitors as candidate drugs for treatments of adrenocortical carcinomas Characterization of the replication timing program of 6 human model cell lines." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASL010.

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Plusieurs évolutions sont constatées dans la recherche en biologie. Tout d’abord, les études menées reposent souvent sur des approches expérimentales quantitatives. L’analyse et l’interprétation des résultats requièrent l’utilisation de l’informatique et des statistiques. Également, en complément des études centrées sur des objets biologiques isolés, les technologies expérimentales haut débit permettent l’étude des systèmes (caractérisation des composants du système ainsi que des interactions entre ces composants). De très grandes quantités de données sont disponibles dans les bases de données

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BRANDL, ALBERTO. "Techniques for effective virtual sensor development and implementation with application to air data systems." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2842493.

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Sublemontier, Jacques-Henri. "Classification non supervisée : de la multiplicité des données à la multiplicité des analyses." Phd thesis, Université d'Orléans, 2012. http://tel.archives-ouvertes.fr/tel-00801555.

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La classification automatique non supervisée est un problème majeur, aux frontières de multiples communautés issues de l'Intelligence Artificielle, de l'Analyse de Données et des Sciences de la Cognition. Elle vise à formaliser et mécaniser la tâche cognitive de classification, afin de l'automatiser pour la rendre applicable à un grand nombre d'objets (ou individus) à classer. Des visées plus applicatives s'intéressent à l'organisation automatique de grands ensembles d'objets en différents groupes partageant des caractéristiques communes. La présente thèse propose des méthodes de classificatio

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Bonnevie, Tristan. "Nouveaux outils et optimisation des outils existants pour la réhabilitation respiratoire et la ré-autonomisation des patients atteints d'un handicap ventilatoire. Chronic obstructive pulmonary disease Six-minute stepper test to set pulmonary rehabilitation intensity in patients with COPD - a retrospective study Can the six-minute stepper test be used to determine the intensity of endurance training in early stage COPD : a multicenter observational study The six-minute stepper test is related to muscle strength but cannot substitute for the one repetition maximum to prescribe strength training in patients with COPD People undertaking pulmonary rehabilitation are willing and able to provide accurate data via a remote pulse oximetry system : a multicentre observational study Mid-term effects of pulmonary rehabilitation on cognitive function in people with severe chronic obstructive pulmonary disease NIV is not adequate for high intensity endurance in COPD Home-based neuromuscular electrical stimulation as an add-on to pulmonary rehabilitation does not provide further benefits in patients with chronic obstructive pulmonary disease : a multicenter randomized trial Lumbar transcutaneous electrical nerve stimulation to improve exercise performance in COPD patients Advanced telehealth technology improves in-home pulmonary rehabilitation for people with stable chronic obstructive pulmonary disease : a systematic review Nasal high flow for stable patients with chronic obstructive pulmonary disease : a systematic review and meta-analysis." Thesis, Normandie, 2020. http://www.theses.fr/2020NORMR024.

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La réhabilitation respiratoire (RR) est recommandée dans la prise en soin des patients atteints d’un handicap ventilatoire afin d’améliorer leur qualité de vie. Malgré une efficacité clairement établie, très peu de patients en bénéficient et les modalités optimales d’entrainement restent à définir. L’utilisation des outils existants et des nouveaux outils pour optimiser l’accès au programme et ses effets représentent des développements majeurs qui méritent d’être évalués. Dans le cadre de cette thèse, nous avons cherché à aborder ces deux problématiques (1) en tentant de proposer un modèle de

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Johari, Shirazi Iman. "Combining Business Intelligence, Indicators, and the User Requirements Notation for Performance Monitoring." Thesis, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23540.

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Organizations use Business Intelligence (BI) systems to monitor how well they are meeting their goals and objectives. Yet, very often BI systems do not include clear models of the organization’s goals or of how to measure whether they are satisfied or not. Several researchers now attempt to integrate goal models into BI systems, but there are still major challenges related to how to get access to the BI data to populate the part of the goal model (often indicators) used to assess goal satisfaction. This thesis explores a new approach to integrate BI systems with goal models. In particular, it

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Daly, Marwa El. "Challenges and potentials of channeling local philanthropy towards development and aocial justice and the role of waqf (Islamic and Arab-civic endowments) in building community foundations." Doctoral thesis, Humboldt-Universität zu Berlin, Philosophische Fakultät III, 2012. http://dx.doi.org/10.18452/16511.

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Diese Arbeit bietet eine solide theoretische Grundlage zu Philanthropie und religiös motivierten Spendenaktivitäten und deren Einfluss auf Wohltätigkeitstrends, Entwicklungszusammenarbeit und einer auf dem Gedanken der sozialen Gerechtigkeit beruhenden Philanthropie. Untersucht werden dafür die Strukturen religiös motivierte Spenden, für die in der islamischen Tradition die Begriffe „zakat“, „Waqf“ oder im Plural auch „awqaf-“ oder „Sadaqa“ verwendet werden, der christliche Begriff dafür lautet „tithes“ oder „ushour“. Aufbauend auf diesem theoretischen Rahmenwerk analysiert die qualitative

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Chang, Chun-Min, and 張峻銘. "Efficient Training for Imbalance Data and Threshold Analysis for Self-training." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/45574751793829538752.

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碩士<br>國立臺灣大學<br>資訊網路與多媒體研究所<br>97<br>There are two methods proposed to address classification problems of imbalanced data. First, we propose a method that has smaller parameter space and more performance when using self-training. We train confidence thresholds for each classifier using labeled data to identify high confident data, and label them pseudo labels for re-train. Through this scheme we get less training time for parameters and get better performance. Second, we proposed an efficient training method for imbalanced data. We start with down-sampling and using a method like bootstrap. Th

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Cham, Shui-Cheung, and 湛瑞章. "Using Data Envelopment Analysis to Evaluate Technical Training Analysis to Maintenance Efficiency in a Depot." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/50474472730736351930.

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碩士<br>義守大學<br>工業管理學系碩士在職專班<br>101<br>The logistic area command’s goal is to assure flight safety with efficient aircraft accessory repair and maintenance, even under tough circumstances, such as defense budge cut, demobilization and technical skills passed down. Applying data envelope analysis, this article main focuses on the objectivity and subjectivity influences on aircraft maintenance supervision evaluation and inspection procedure, so this analysis should improve overall logistic operation and training efficiency. Moreover, this analysis results will be helpful for making any decisions i

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Huang, Shu-Kai, and 黃舒楷. "Measuring the enterprise performance of training quality by Data envelopment Analysis in Taiwan." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/53575603303709957650.

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碩士<br>國立彰化師範大學<br>工業教育與技術學系<br>96<br>Human Capital is the core assets for the enterprise's advantages. However, after various enterprise's training programs, whether can really provide effective training which fulfills the market demand is worth to concern. 　　Therefore this study aims to construct a training evaluation system combined Data Envelopment analysis with Taiwan TrainQuali System (TTQS) which provided by Bureau of Employment Vocational Training (BEVT) in Taiwan from the multiple viewpoint of training performance, the utilization Data Envelopment Analysis to the training performance i

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Yeh, Tun-Ching, and 葉敦青. "An Empirical Analysis on Auto Corporation Training Program Planning by Data Mining Techniques." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/81483136459391493716.

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碩士<br>國立勤益科技大學<br>工業工程與管理系<br>97<br>Due to the limited training resources available in corporations in upgrading human resources quality, it has become an essential topic for more effective training program planning in nurturing future professionals. Basically, training structure designed in compliance with the spirit of Taiwan TrainQuali Scorecard (TTQS) precisely stipulated the two stages of P (Plan) and D (Design) and the following results will be easier and smoother. From TTQS database of Bureau of Employment and Vocational Training, this research found that Gold Medal Enterprises (Group B

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Castura, John C. "Analysis of Early Training Stage Data from a Descriptive Sensory Panel: Review and Development." Thesis, 2011. http://hdl.handle.net/10214/2890.

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Human assessors are currently the best instruments for evaluating the sensory properties of both food and non-food consumer products. In the early stages of descriptive sensory panel training, a lexicon is still undergoing refinement and assessors are only beginning to understand the identities of sensory attributes and how to use the scale to communicate the intensity of sensations. To expedite training, the panel leader provides structure and feedback. Several statistical approaches have been proposed that indicate training status. In this thesis several approaches are reviewed, and a multis

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Chang, Tien-Fu, and 章添福. "Applying the Data Mining Technology to Analysis of Job-training Programme in Motor Industry." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/75511517265413313561.

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碩士<br>中原大學<br>工業工程研究所<br>96<br>In order to meet the future requirement and solve the current problems, enterprises often plan to organize variety of Job-training for assigning employees and others. Nevertheless, how to arrange Job-training within limited budget? And who should be the group of students to take the course? Does the result of Job-training in accordance with the company requirement? What is the connection among training with different people, program module, and final outcome? All these questions might be easy to answer, but if the training purpose of a company can be fully unders

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Wu, Yuan-Ching, and 吳苑菁. "Data Mining Applied to One multinational electronic enterprise analysis of the implementation educational training courses." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/83592937001106476068.

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碩士<br>國立勤益科技大學<br>工業工程與管理系<br>101<br>The enterprises in Taiwan are unable to realize their education and training because they have resource limitation to make the internal training happen. To enhance the quality of human resources, how to make education more efficient planning of training courses is certainly an important issue for enterprises. Knowledge economy had been growing rapidly in recent years. In the trend of globalization, human resources turned to be the core department of companies. The fundamental job is to establish quality human resources environment and enhance human resource

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Chen, Yu Syuan, and 陳宇軒. "The Analysis of Data Mining on Government Employee 360-Degree Competency Assessment and Educational Training Strategy." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/68769227370513168356.

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碩士<br>國立高雄師範大學<br>人力與知識管理研究所<br>101<br>With the popularity of the database application, Data Mining has been widely used in various fields, exploring the lots of valuable information and knowledge. Organizations are attach importance to the management and development for human resource on competency, but most of the references are explored the construction of competency model or the evaluation of training achievement, the competency data are rarely used to explore the association and the trends on individuals' and organizational members' competency. 　　This study is aimed to explore the compete

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Hou, Hsin-En, and 侯信恩. "An Analysis of SOC Information Security Training Requirements , a Case of an Internet Data Center in a Military Organization." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/05930459801580835888.

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碩士<br>國防大學管理學院<br>資訊管理學系<br>99<br>Information warfare is modern warfare and the first battle, fantasy cyberspace attack you at all times I played defense in the repertoire, information security has become the primary IT operations. Construction of modern military combat power at the occasion, rely on the information the operating system of the community, how to ensure information security, maintaining the military fighting force, has become the primary military task force of information professionals. This study will refer to the Executive Yuan Research, Development and Evaluation Commission

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"Robust Experimental Design for Speech Analysis Applications." Master's thesis, 2020. http://hdl.handle.net/2286/R.I.57412.

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abstract: In many biological research studies, including speech analysis, clinical research, and prediction studies, the validity of the study is dependent on the effectiveness of the training data set to represent the target population. For example, in speech analysis, if one is performing emotion classification based on speech, the performance of the classifier is mainly dependent on the number and quality of the training data set. For small sample sizes and unbalanced data, classifiers developed in this context may be focusing on the differences in the training data set rather than emotion

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(5929568), Tommy Y. Chang. "Reducing Wide-Area Satellite Data to Concise Sets for More Efficient Training and Testing of Land-Cover Classifiers." Thesis, 2019.

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Obtaining an accurate estimate of a land-cover classifier's performance over a wide geographic area is a challenging problem due to the need to generate the ground truth that covers the entire area that may be thousands of square kilometers in size. The current best approach constructs a testing dataset by drawing samples randomly from the entire area --- with a human supplying the true label for each such sample --- with the hope that the selections thus made statistically capture all of the data diversity in the area. A major shortcoming of this approach is that it is difficult for a human

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(8803076), Jordan M. McGraw. "Implementation and Analysis of Co-Located Virtual Reality for Scientific Data Visualization." Thesis, 2020.

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<div>Advancements in virtual reality (VR) technologies have led to overwhelming critique and acclaim in recent years. Academic researchers have already begun to take advantage of these immersive technologies across all manner of settings. Using immersive technologies, educators are able to more easily interpret complex information with students and colleagues. Despite the advantages these technologies bring, some drawbacks still remain. One particular drawback is the difficulty of engaging in immersive environments with others in a shared physical space (i.e., with a shared virtual environment

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Jonker, Carine-Mari. "The experiences of students participating in an HIV/AIDS teacher education pilot programme." Diss., 2011. http://hdl.handle.net/2263/30434.

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The current research study was a qualitative investigation to explore and describe how students, registered for the Education 364 module, experienced the HIV/AIDS teacher education pilot programme (TEPP), implemented at the University of Pretoria. The availability of in-depth interview transcriptions, as raw data, permitted analysis of existing data from a different perspective. Transcriptions of a focus group interview and two individual interviews with Afrikaans students were purposefully selected and inductively analysed. Two main themes emerged following the thematic analysis of interview

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Hsu, Cheng-Kai, and 許丞愷. "Comparison of Music Emotion Classification and Interpretation System Based on Different Genre of Training Data and Applied to Soundscape Emotion Recognition and Mixing Audio Analysis." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/uwmp54.

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碩士<br>國立交通大學<br>工學院聲音與音樂創意科技碩士學位學程<br>106<br>This study presents an approach to analyze the inherent emotional ingredients in the polyphonic music signals, and applied to the soundscape emotion analysis. The proposed real-time music emotion trajectory tracking systems are established by maching learning techniques, music signal processing, and the integration of two-dimensional emotion plane and categorical taxonomy as emotion recognition model. Two sets of training data are collected, one is consisted of popular music and the other is consisted of western classical music, each set contains 19

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