Thematische Bibliographien / Machine calibration / Dissertationen
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Dissertationen zum Thema „Machine calibration“

Autor: Grafiati
Veröffentlicht am 28. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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1

Haussamer, Nicolai Haussamer. "Model Calibration with Machine Learning." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29451.

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This dissertation focuses on the application of neural networks to financial model calibration. It provides an introduction to the mathematics of basic neural networks and training algorithms. Two simplified experiments based on the Black-Scholes and constant elasticity of variance models are used to demonstrate the potential usefulness of neural networks in calibration. In addition, the main experiment features the calibration of the Heston model using model-generated data. In the experiment, we show that the calibrated model parameters reprice a set of options to a mean relative implied vola
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Stark, Per. "Machine vision camera calibration and robot communication." Thesis, University West, Department of Technology, Mathematics and Computer Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-1351.

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<p>This thesis is a part of a larger project included in the European project, AFFIX. The reason for the project is to try to develop a new method to assemble an aircraft engine part so that the weight and manufacturing costs are reduced. The proposal is to weld sheet metal parts instead of using cast parts. A machine vision system is suggested to be used in order to detect the joints for the weld assembly operation of the sheet metal. The final system aims to locate a hidden curve on an object. The coordinates for the curve are calculated by the machine vision system and sent to a robot. The
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Alvarez, Teleña S. "Systematic trading : calibration advances through machine learning." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1461997/.

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Systematic trading in finance uses computer models to define trade goals, risk controls and rules that can execute trade orders in a methodical way. This thesis investigates how performance in systematic trading can be crucially enhanced by both i) persistently reducing the bid-offer spread quoted by the trader through optimized and realistically backtested strategies and ii) improving the out-of-sample robustness of the strategy selected through the injection of theory into the typically data-driven calibration processes. While doing so it brings to the foreground sound scientific reasons tha
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Ulmer, Bernard C. Jr. "Fabrication and calibration of an open architecture diamond turning machine." Thesis, Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/17120.

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5

Parkinson, Simon. "Construction of machine tool calibration plans using domain-independent automated planning." Thesis, University of Huddersfield, 2014. http://eprints.hud.ac.uk/id/eprint/20329/.

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The evolution in precision manufacturing has resulted in the requirement to produce and maintain more accurate machine tools. This new requirement coupled with desire to reduce machine tool downtime places emphasis on the calibration procedure during which the machine's capabilities are assessed. Machine tool downtime can be as much as $120 per hour and is significant for manufacturers because the machine will be unavailable for manufacturing use, therefore wasting the manufacturer's time and potentially increasing lead-times for clients. In addition to machine tool downtime, the uncertainty o
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Nichols, Scott A. "Improvement of the camera calibration through the use of machine learning techniques." [Gainesville, Fla.] : University of Florida, 2001. http://etd.fcla.edu/etd/uf/2001/anp1587/nichols%5Fthesis.pdf.

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Thesis (M.S.)--University of Florida, 2001.<br>Title from first page of PDF file. Document formatted into pages; contains vii, 45 p.; also contains graphics. Vita. Includes bibliographical references (p. 43-44).
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Herron, Christopher, and André Zachrisson. "Machine Learning Based Intraday Calibration of End of Day Implied Volatility Surfaces." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273419.

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The implied volatility surface plays an important role for Front office and Risk Management functions at Nasdaq and other financial institutions which require mark-to-market of derivative books intraday in order to properly value their instruments and measure risk in trading activities. Based on the aforementioned business needs, being able to calibrate an end of day implied volatility surface based on new market information is a sought after trait. In this thesis a statistical learning approach is used to calibrate the implied volatility surface intraday. This is done by using OMXS30-2019 imp
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Sousa, João Beleza Teixeira Seixas e. "Machine learning Gaussian short rate." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/12230.

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Dissertação para obtenção do Grau de Doutor em Estatística e Gestão do Risco<br>The main theme of this thesis is the calibration of a short rate model under the risk neutral measure. The problem of calibrating short rate models arises as most of the popular models have the drawback of not fitting prices observed in the market, in particular, those of the zero coupon bonds that define the current term structure of interest rates. This thesis proposes a risk neutral Gaussian short rate model based on Gaussian processes for machine learning regression using the Vasicek short rate model as pr
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Solorzano, Soria Ana Maria. "Fire Detectors Based on Chemical Sensor Arrays and Machine Learning Algorithms: Calibration and Test." Doctoral thesis, Universitat de Barcelona, 2020. http://hdl.handle.net/10803/669584.

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In some types of fire, namely, smoldering fires or involving polymers without flame, gases and volatiles appear before smoke is released. Most of the fatalities registered for fires, are caused due to the intoxication of the building occupants over the burns. Nowadays, conventional fire detectors are based on the detection of smoke or airborne particles. In smoldering fires situations, conventional fire detectors triggers the alarm after the release of toxic emissions. The early emission of gas in fires opens the possibility to build fire alarm systems with shorter response times than widespre
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Dutra, Calainho Felipe. "Evaluation of Calibration Methods to Adjust for Infrequent Values in Data for Machine Learning." Thesis, Högskolan Dalarna, Mikrodataanalys, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28134.

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The performance of supervised machine learning algorithms is highly dependent on the distribution of the target variable. Infrequent values are more di_cult to predict, as there are fewer examples for the algorithm to learn patterns that contain those values. These infrequent values are a common problem with real data, being the object of interest in many _elds such as medical research, _nance and economics, just to mention a few. Problems regarding classi_cation have been comprehensively studied. For regression, on the other hand, few contributions are available. In this work, two ensemble me
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Potdar, Akshay Anand. "Reducing the uncertainty of thermal model calibration using on-machine probing and data fusion." Thesis, University of Huddersfield, 2016. http://eprints.hud.ac.uk/id/eprint/31397/.

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Various sources of error hinder the possibility of achieving tight accuracy requirements for high-value manufacturing processes. These are often classified as: pseudo-static geometric errors; non-rigid body errors; thermal errors; and dynamic errors. It is comparatively complicated to obtain an accurate error map for the thermal errors because they are influenced by various factors with different materials, time constants, asymmetric heating sources and machining process, environmental effects, etc. Their transient nature and complex interaction mean that they are relatively difficult to compe
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Flynn, Joseph. "The identification of geometric errors in five-axis machine tools using the telescoping magnetic ballbar." Thesis, University of Bath, 2016. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.698982.

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To maximise productivity and reduce scrap in high-value, low-volume production, five-axis machine tool (5A-MT) motion accuracy must be verified quickly and reliably. Numerous metrology instruments have been developed to measure errors arising from geometric imperfections within and between machine tool axes (amongst other sources). One example is the TMBB, which is becoming an increasingly popular instrument to measure both linear and rotary axis errors. This research proposes new TMBB measurement technique to rapidly, accurately and reliably measure all position-independent rotary axis errors
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Landström, Per, and John Sandström. "Classication framework formonitoring calibration ofautonomous waist-actuated minevehicles." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-84453.

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For autonomous mine vehicles that perform the ”load-haul-dump” (LHD) cycle to operate properly, calibration of the sensors they rely on is crucial. The LHD cycle refers to a vehicle that loads material, hauls the material along a route and dumps it in an extraction point. Many of these vehicles are waist-actuated, meaning that the front and rear part of the machines are fixated at an articulation point.   The focus of this thesis is about developing and implementing two differ- ent frameworks to distinguish patterns from routes where calibration of the hinge-angle sensor was needed before and
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Lawler, Clinton T. "A two-phase spherical electric machine for generating rotating uniform magnetic fields." Thesis, Monterey, California. Naval Postgraduate School, 2007. http://hdl.handle.net/10945/2995.

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This thesis describes the design and construction of a novel two-phase spherical electric machine that generates rotating uniform magnetic fields, known as a fluxball machine. Alternative methods for producing uniform magnetic fields with air-cored solenoidal magnets are discussed and evaluated. Analytical and numerical models of these alternatives are described and compared. The design details of material selection, slot geometry, and mechanical connections are described for the fluxball machine. The electrical properties of the machine are predicted and measured. Based on these properties, t
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Camboulives, Martin. "Étalonnage d'un espace de travail par multilatération." Thesis, Université Paris-Saclay (ComUE), 2015. http://www.theses.fr/2015SACLN024/document.

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Les travaux présentés dans cette thèse ont pour but la maîtrise des méthodes d'étalonnage par multilatération. Ils s'inscrivent dans une collaboration entre le Laboratoire national de métrologie et d'essais (LNE) et le Laboratoire Universitaire de Recherche en Production Automatisée (LURPA). Dans ces travaux, la multilatération est dite séquentielle car réalisée avec un unique Laser Tracer positionné successivement plusieurs points de l'espace. La détermination de ces positions ainsi que des bras-morts de l'interféromètre est le point clef de la méthode. Pour l'évaluation des incertitudes, le
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Gunnlaugsdottir, Helga. "Spectroscopic determination of pH in an arterial line from a Heart-lung machine." Thesis, KTH, Skolan för teknik och hälsa (STH), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-121583.

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There is a need for a real-time, non-invasive method to monitor blood pH in a patient line during cardiopulmonary bypass, as today’s methods are both invasive and time consuming. Blood pH is an indicator of physiological and biochemical activity in the body and needs to be kept within a relatively narrow range, typically between 7.35-7.45. A pH value outside this range can be critical for the patient and therefore needs to be carefully monitored throughout the course of cardiopulmonary bypass. In this study the feasibility of using spectroscopic methods for indirect measurement of pH was inves
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Sayin, Günel Burcu. "Towards Reliable Hybrid Human-Machine Classifiers." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/349843.

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In this thesis, we focus on building reliable hybrid human-machine classifiers to be deployed in cost-sensitive classification tasks. The objective is to assess ML quality in hybrid classification contexts and design the appropriate metrics, thereby knowing whether we can trust the model predictions and identifying the subset of items on which the model is well-calibrated and trustworthy. We start by discussing the key concepts, research questions, challenges, and architecture to design and implement an effective hybrid classification service. We then present a deeper investigation of each ser
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Hong, Cefu. "Error Calibration on Five-axis Machine Tools by Relative Displacement Measurement between Spindle and Work Table." 京都大学 (Kyoto University), 2012. http://hdl.handle.net/2433/157572.

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19

Todeschi, Tiziano. "Calibration of local-stochastic volatility models with neural networks." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23052/.

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During the last twenty years several models have been proposed to improve the classic Black-Scholes framework for equity derivatives pricing. Recently a new model has been proposed: Local-Stochastic Volatility Model (LSV). This model considers volatility as the product between a deterministic and a stochastic term. So far, the model choice was not only driven by the capacity of capturing empirically observed market features well, but also by the computational tractability of the calibration process. This is now undergoing a big change since machine learning technologies offer new perspectives
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Profeta, Rebecca L. "Calibration Models and System Development for Compressive Sensing with Micromirror Arrays." Wright State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=wright15160282553897.

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Zonzini, Mirko. "Calibration and advanced control of the PICKABLE robot for the improvement of its dynamic performance." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Pickable is a prototype, in the early stages of development, of an industrial CDPR developed by Tecnalia Research and Innovation within the "PicknPack" project, launched by the European Union to promote the development of flexible automated systems for the packaging of fresh or packaged food products. Current industrial solutions for pick and place applications are either delta parallel robots or serial arms SCARA robots but, in recent years, PKM based pick and place robots have begun to become more and more important in the pick and place market. The idea behind Pickable is to combine the pri
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Gao, Xiang Hui. "Development of an initial-training-free online extreme learning machine with applications to automotive engine calibration and control." Thesis, University of Macau, 2017. http://umaclib3.umac.mo/record=b3691047.

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Sepe, Luca. "Analysis and implementation of an industrial control for laser-based calibration of electronic devices." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017.

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Nowadays the electronics market and technology in general are constantly expanding. Technological evolution is steadily growing to keep pace with the times: perhaps the competitiveness of the various markets makes the timelines close. Just think of the market of all electronic devices, every 6 months or less, comes out a new, more powerful model with new functions and able to satisfy the needs of the consumer more and more fully. This thesis addresses the evolution of technology as regards one of the many factors affecting electronics, that is, the construction of electronic cards with certain
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Diaz, Mauricio. "Analyse de l'illumination et des propriétés de réflectance en utilisant des collections d'images." Thesis, Grenoble, 2011. http://www.theses.fr/2011GRENM051/document.

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L'utilisation de collections d'images pour les applications de vision par ordinateur devient de plus en plus commune des nos jours. L'objectif principal de cette thèse est d'exploiter et d'extraire des informations importantes d'images de scènes d'extérieur a partir de ce type de collections : l'illumination présente au moment de la prise, les propriétés de reflectance des matériaux composant les objets dans la scène et les propriétés radiométriques des appareils photo utilisés. Pour atteindre notre objectif, cette thèse est composée de deux parties principales. Dans un premier temps nous allo
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Grizou, Jonathan. "Apprentissage simultané d'une tâche nouvelle et de l'interprétation de signaux sociaux d'un humain en robotique." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0146/document.

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Cette thèse s'intéresse à un problème logique dont les enjeux théoriques et pratiques sont multiples. De manière simple, il peut être présenté ainsi : imaginez que vous êtes dans un labyrinthe, dont vous connaissez toutes les routes menant à chacune des portes de sortie. Derrière l'une de ces portes se trouve un trésor, mais vous n'avez le droit d'ouvrir qu'une seule porte. Un vieil homme habitant le labyrinthe connaît la bonne sortie et se propose alors de vous aider à l'identifier. Pour cela, il vous indiquera la direction à prendre à chaque intersection. Malheureusement, cet homme ne parle
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Selingue, Maxime. "amélioration de la précision de structures sérielles poly-articulées par des méthodes d'apprentissage automatique économes en données." Electronic Thesis or Diss., Paris, HESAM, 2023. http://www.theses.fr/2023HESAE085.

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L'évolution des méthodes de production, dans le contexte de l'industrie 4.0, conduit les robots collaboratifs et industriels à être utilisés pour des tâches telles que le perçage, l'usinage, ou l'assemblage.Ces tâches demandent une précision de l'ordre du dixième de millimètre, alors que la précision de ces robots est de l'ordre de un à deux millimètres.Cet état de fait conduit les intégrateurs robotiques à proposer des méthodes de calibration visant à établir un modèle de comportement du robot plus fiable et représentatif du robot réel.Ainsi, les méthodes de calibration analytiques modélisent
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Dinh, Thi Lan Anh. "Crop yield simulation using statistical and machine learning models. From the monitoring to the seasonal and climate forecasting." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS425.

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La météo et le climat ont un impact important sur les rendements agricoles. De nombreuses études basées sur différentes approches ont été réalisées pour mesurer cet impact. Cette thèse se concentre sur les modèles statistiques pour mesurer la sensibilité des cultures aux conditions météorologiques sur la base des enregistrements historiques. Lors de l'utilisation d'un modèle statistique, une difficulté critique survient lorsque les données sont rares, ce qui est souvent le cas pour la modélisation des cultures. Il y a un risque élevé de sur-apprentissage si le modèle n'est pas développé avec c
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Huang, Jian. "Assessing predictive performance and transferability of species distribution models for freshwater fish in the United States." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/73477.

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Rigorous modeling of the spatial species distributions is critical in biogeography, conservation, resource management, and assessment of climate change. The goal of chapter 2 of this dissertation was to evaluate the potential of using historical samples to develop high-resolution species distribution models (SDMs) of stream fishes of the United States. I explored the spatial transferability and temporal transferability of stream–fish distribution models in chapter 3 and chapter 4 respectively. Chapter 2 showed that the discrimination power of SDMs for 76 non-game fish species depended on data
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Mollaret, Sébastien. "Artificial intelligence algorithms in quantitative finance." Thesis, Paris Est, 2021. http://www.theses.fr/2021PESC2002.

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L'intelligence artificielle est devenue de plus en plus populaire en finance quantitative avec l'augmentation des capacités de calcul ainsi que de la complexité des modèles et a conduit à de nombreuses applications financières. Dans cette thèse, nous explorons trois applications différentes pour résoudre des défis concernant le domaine des dérivés financiers allant de la sélection de modèle, à la calibration de modèle ainsi que la valorisation des dérivés. Dans la Partie I, nous nous intéressons à un modèle avec changement de régime de volatilité afin de valoriser des dérivés sur actions. Les
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Ibrahim, Ayman Wagdy Mohamed. "Predicting glare in open-plan offices using simplified data acquisitions and machine learning algorithms." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/204266/1/Ayman%20Wagdy%20Mohamed_Ibrahim_Thesis.pdf.

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Glare in open-plan offices can negatively affect the productivity and well-being of office workers. Accurate glare prediction is challenging, as occupants' sensitivity to glare may differ under the same conditions. Developed as part of an ARC Linkage Project, this thesis challenges the limitations prevalent in current glare metrics by delivering a new model of predicting glare for open-plan offices. By utilising machine learning (ML) techniques, more accurate tools and methods are unlocked to assist architects and lighting engineers in the early stages of the design process. They ultimately en
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Hamidisepehr, Ali. "CLASSIFYING SOIL MOISTURE CONTENT USING REFLECTANCE-BASED REMOTE SENSING." UKnowledge, 2018. https://uknowledge.uky.edu/bae_etds/57.

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The ability to quantify soil moisture spatial variability and its temporal dynamics over entire fields through direct soil observations using remote sensing will improve early detection of water stress before crop physiological or economic damage has occurred, and it will contribute to the identification of zones within a field in which soil water is depleted faster than in other zones of a field. The overarching objective of this research is to develop tools and methods for remotely estimating soil moisture variability in agricultural crop production. Index-based and machine learning methods
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Aparicio, Vázquez Ignacio. "Venn Prediction for Survival Analysis : Experimenting with Survival Data and Venn Predictors." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278823.

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The goal of this work is to expand the knowledge on the field of Venn Prediction employed with Survival Data. Standard Venn Predictors have been used with Random Forests and binary classification tasks. However, they have not been utilised to predict events with Survival Data nor in combination with Random Survival Forests. With the help of a Data Transformation, the survival task is transformed into several binary classification tasks. One key aspect of Venn Prediction are the categories. The standard number of categories is two, one for each class to predict. In this work, the usage of ten c
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Richard, Michael. "Évaluation et validation de prévisions en loi." Thesis, Orléans, 2019. http://www.theses.fr/2019ORLE0501.

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Cette thèse porte sur l’évaluation et la validation de prévisions en loi. Dans la première partie, nous nous intéressons à l’apport du machine learning vis à vis des prévisions quantile et des prévisions en loi. Pour cela, nous avons testé différents algorithmes de machine learning dans un cadre de prévisions de quantiles sur données réelles. Nous tentons ainsi de mettre en évidence l’intérêt de certaines méthodes selon le type de données auxquelles nous sommes confrontés. Dans la seconde partie, nous exposons quelques tests de validation de prévisions en loi présents dans la littérature. Cert
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Fulová, Silvia. "Stanovení nejistoty měření optického měřicí stroje pomocí laserinterferometru." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443250.

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This final thesis is dealing with stating uncertainty of optical measuring device Micro-Vu Sol 311, which is located at Faculty of mechanical engineering in Brno. Overview of coordinate measuring machines (CMM for short) and analyzed present status of optical CMM is in summation. This part also includes basic metrology concepts and methodology of determination of uncertainty of measuring instrument. Content of following parts of thesis is detailed description of Micro-Vu SOL 311 machine and etalons that were used in determination of enhanced uncertainty of measurement such as gage blocks, lase
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Maretto, Danilo Althmann. "Aplicação de máquinas de vetores de suporte para desenvolvimento de modelos de classificação e calibração multivariada em espectroscopia no infravermelho." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/249287.

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Orientador: Ronei Jesus Popi<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Química<br>Made available in DSpace on 2018-08-18T17:27:36Z (GMT). No. of bitstreams: 1 Maretto_DaniloAlthmann_D.pdf: 2617064 bytes, checksum: 1ebea2b6ab73ef552155cd9b79b6fd1b (MD5) Previous issue date: 2011<br>Resumo: O objetivo desta tese de doutorado foi de utilizar o algoritmo Máquinas de Vetores de Suporte (SVM) em problemas de classificação e calibração, onde algoritmos mais tradicionais (SIMCA e PLS, respectivamente) encontram problemas. Foram realizadas quatro aplicações utilizando dado
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Vieira, Alessandro David. "Calibração indireta de máquina de medir por coordenadas utilizando esquadro mecânico de esferas." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/18/18146/tde-13012011-133713/.

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Com o crescimento industrial e tecnológico nas últimas décadas, as indústrias passaram a oferecer produtos customizados, ou seja, desenvolvidos com tolerâncias geométricas cada vez mais apertadas e geometrias cada vez mais complexas. Com isso, as máquinas de medir por coordenadas (MMC) vêm tornando-se instrumentos essenciais no ambiente industrial. A MMC é extremamente versátil o que possibilita a medição das mais diversas características geométricas e dimensionais. Padrões para calibração de MMC foram sugeridos e colocados em uso através dos anos, com a finalidade de utilizá-los em testes de
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Rydell, Christopher. "Deep Learning for Whole Slide Image Cytology : A Human-in-the-Loop Approach." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-450356.

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With cancer being one of the leading causes of death globally, and with oral cancers being among the most common types of cancer, it is of interest to conduct large-scale oral cancer screening among the general population. Deep Learning can be used to make this possible despite the medical expertise required for early detection of oral cancers. A bottleneck of Deep Learning is the large amount of data required to train a good model. This project investigates two topics: certainty calibration, which aims to make a machine learning model produce more reliable predictions, and Active Learning, wh
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Occello, Olivier. "Solutions non-intrusives, génériques et quasi-statiques pour le test et le calibrage de circuits intégrés en bande millimétrique." Electronic Thesis or Diss., Université Grenoble Alpes, 2024. http://www.theses.fr/2024GRALT005.

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Depuis le début des années 2010, nous assistons à une augmentation des applications en bande millimétrique des systèmes sur puce (« System On Chip » - SoC). La croissance des fréquences de travail demande des innovations à différents niveaux, allant du développement de technologies plus performantes au test plus efficace, en passant par des enjeux de conception intégrée pour deux de ces besoins émergents sont regroupés autour de deux applications principales : les télécommunications et les véhicules autonomes. Dans cette thèse, nous présentons une méthode de test de circuits intégrés en bande
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Vernazza, Elena. "Characterisation of the HGCROC3 read-out chip for the future HGCAL, innovative calibration techniques at trigger level and study of the ZZ/ZH->bbττ processes with the CMS detector at the LHC". Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAX059.

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Cette thèse présente l'étude de la production de deux bosons Z (ZZ) et d'un boson Z en association avec un boson de Higgs (ZH) dans l'état final avec deux quarks b et deux leptons τ (bbττ), en utilisant les données de collisions proton-proton enregistrées à une énergie dans le centre de masse de 13 TeV. Le jeu de données analysé correspond à une luminosité de 137 fb-1 collectée pendant le Run II (2016-2018) par l'expérience CMS au LHC. La production non résonante ZZ/ZH, comme prédite par le Modèle Standard (SM), est déjà théoriquement et expérimentalement bien établie dans les canaux leptoniqu
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Matsubara, Edson Takashi. "Relações entre ranking, análise ROC e calibração em aprendizado de máquina." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-04032009-114050/.

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Aprendizado supervisionado tem sido principalmente utilizado para classificação. Neste trabalho são mostrados os benefícios do uso de rankings ao invés de classificação de exemplos isolados. Um rankeador é um algoritmo que ordena um conjunto de exemplos de tal modo que eles são apresentados do exemplo de maior para o exemplo de menor expectativa de ser positivo. Um ranking é o resultado dessa ordenação. Normalmente, um ranking é obtido pela ordenação do valor de confiança de classificação dado por um classificador. Este trabalho tem como objetivo procurar por novas abordagens para promover o u
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Jelínek, Vít. "Kalibrace skleněných měřítek." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232162.

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This thesis deals with a more work-efficient and time-efficient method of calibration of standard glass scales, with practical use in the Czech Metrology Institute Regional Inspectorate in Brno. The desired streamlining of calibration were achieved in the use of a 3D coordinate measuring machine Micro-Vu Excel 4520. In the service software InSpec, six measuring programs were designed in the use of a standard glass scale brand SIP. The measurement uncertainties of this calibration were presented and calculated. This thesis draws up a draft proposal of the calibration procedure and drafts a form
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Braden, Jason Patrick. "Open architecture and calibration of a cylindrical grinder." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/18190.

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Kiška, Roman. "Stanovení přesnosti měření souřadnicového měřicího stroje Zeiss UPMC Carat." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-442852.

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The aim of this diploma thesis is to create a comprehensive study of measurement accuracy of coordinate measuring machine (hereinafter CMM) Zeiss UPMC 850 Carat S-ACC (hereinafter Zeiss Carat) for the needs of the national metrological institute in Brno in accordance with ČSN EN ISO / IEC 17025 and the follow-up system standards of the ČSN EN ISO 10360 series. Additionally, it includes the creation of instructions for the calculation of measurement uncertainty, which will be put into effect in an accredited calibration laboratory. The first part of the work focuses on the description of the cu
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Zhu, Hui. "Partial discharge propagation, measurement, and calibration in high power rotating machines." Thesis, Glasgow Caledonian University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.261609.

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Cilici, Florent. "Développement de solutions BIST (Built-In Self-Test) pour circuits intégrés radiofréquences/millimétriques." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAT072.

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Les technologies silicium récentes sont particulièrement prônes aux imperfections durant la fabrication des circuits. La variation des procédés peut entrainer une dégradation des performances, notamment aux hautes fréquences. Dans cette thèse, plusieurs contributions visant la réduction des coûts et de la complexité du test des circuits millimétriques sont présentées. Dans ce sens, deux sujets principaux ont fait l'objet de notre attention : a) le test indirect non-intrusif basé sur l’apprentissage automatique et b) la calibration non-itérative "one-shot". Nous avons en particulier développé u
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Rivera, Martinez Rodrigo Andres. "Validation and deployment of greenhouse gas sensors (CH4) for the characterization of industrial and urban sources." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASJ020.

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Cette thèse a pour objectif la reconstruction des concentrations de méthane (CH4) atmosphérique à partir des signaux bruts (tension électrique) de capteurs d'oxyde de métal (MOS) à bas coût afin de surveiller les émissions de CH4 sur des sites industriels. Notre stratégie se base essentiellement sur la colocalisation des mesures des capteurs à bas coût avec des instruments de référence de haute précision. Les données de concentration de CH4 des instruments de haute précision sont utilisées comme variable cible pour être reconstruites à partir des mesures brutes de tension électrique issue des
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Lau, Tse-yeung, and 劉子揚. "Mechanical calibration of drilling process monitor (DPM) methodology." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43753012.

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Lau, Tse-yeung. "Mechanical calibration of drilling process monitor (DPM) methodology." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43753012.

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Di, Giacomo Benedito. "Computer aided calibration and hybrid compensation of geometric errors in coordinate measuring machines." Thesis, University of Manchester, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306885.

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Alves, Julio Cesar Laurentino 1978. "Máquina de vetores de suporte aplicada a dados de espectroscopia NIR de combustíveis e lubrificantes para o desenvolvimento de modelos de regressão e classificação." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/249312.

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Orientador: Ronei Jesus Poppi<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Química<br>Made available in DSpace on 2018-08-19T18:06:58Z (GMT). No. of bitstreams: 1 Alves_JulioCesarLaurentino_D.pdf: 19282542 bytes, checksum: 78d1bf16d9d133c488adb4bedf593b06 (MD5) Previous issue date: 2012<br>Resumo: Modelos lineares de regressão e classificação por vezes proporcionam um desempenho insatisfatório no tratamento de dados de espectroscopia no infravermelho próximo de produtos derivados de petróleo. A máquina de vetores de suporte (SVM), baseada na teoria do aprendizado est
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