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Dissertations / Theses on the topic 'Prediction Accuracy'

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Published: 4 June 2021

Last updated: 26 July 2025

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1

GAO, HONGLIANG. "IMPROVING BRANCH PREDICTION ACCURACY VIA EFFECTIVE SOURCE INFORMATION AND PREDICTION ALGORITHMS." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3286.

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Modern superscalar processors rely on branch predictors to sustain a high instruction fetch throughput. Given the trend of deep pipelines and large instruction windows, a branch misprediction will incur a large performance penalty and result in a significant amount of energy wasted by the instructions along wrong paths. With their critical role in high performance processors, there has been extensive research on branch predictors to improve the prediction accuracy. Conceptually a dynamic branch prediction scheme includes three major components: a source, an information processor, and a predict

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2

Vasudev, R. Sashin, and Ashok Reddy Vanga. "Accuracy of Software Reliability Prediction from Different Approaches." Thesis, Blekinge Tekniska Högskola, Avdelningen för för interaktion och systemdesign, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1298.

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Many models have been proposed for software reliability prediction, but none of these models could capture a necessary amount of software characteristic. We have proposed a mixed approach using both analytical and data driven models for finding the accuracy in reliability prediction involving case study. This report includes qualitative research strategy. Data is collected from the case study conducted on three different companies. Based on the case study an analysis will be made on the approaches used by the companies and also by using some other data related to the organizations Software Qua

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3

Govender, Evandarin. "An intelligent deflection prediction system for machining of flexible components." Thesis, Nottingham Trent University, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367158.

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Ilska, Joanna Jadwiga. "Understanding genomic prediction in chickens." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/15876.

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Genomic prediction (GP) is a novel tool used for prediction of EBVs by using molecular markers. Within the last decade, GP has been widely introduced into routine evaluations of cattle, pig and sheep populations, however, its application in poultry has been somewhat delayed, and studies published to date have been limited in terms of population size and marker densities. This study shows a thorough evaluation of the benefits that GP could bring into routine evaluations of broiler chickens, with particular attention given to the accuracy and bias of Genomic BLUP (GBLUP) predictions. The data us

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5

Groppe, Matthias. "Influences on aircraft target off-block time prediction accuracy." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/7277.

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With Airport Collaborative Decision Making (A-CDM) as a generic concept of working together of all airport partners, the main aim of this research project was to increase the understanding of the Influences on the Target Off-Block Time (TOBT) Prediction Accuracy during A-CDM. Predicting the TOBT accurately is important, because all airport partners use it as a reference time for the departure of the flights after the aircraft turn-round. Understanding such influencing factors is therefore not only required for finding measures to counteract inaccurate TOBT predictions, but also for establishin

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DeBlasio, Dan, and John Kececioglu. "Core column prediction for protein multiple sequence alignments." BIOMED CENTRAL LTD, 2017. http://hdl.handle.net/10150/623957.

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Background: In a computed protein multiple sequence alignment, the coreness of a column is the fraction of its substitutions that are in so-called core columns of the gold-standard reference alignment of its proteins. In benchmark suites of protein reference alignments, the core columns of the reference alignment are those that can be confidently labeled as correct, usually due to all residues in the column being sufficiently close in the spatial superposition of the known three-dimensional structures of the proteins. Typically the accuracy of a protein multiple sequence alignment that has bee

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7

Salam, Patrous Ziad, and Safir Najafi. "Evaluating Prediction Accuracy for Collaborative Filtering Algorithms in Recommender Systems." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-186456.

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Recommender systems are a relatively new technology that is commonly used by e-commerce websites and streaming services among others, to predict user opinion about products. This report studies two specific recommender algorithms, namely FunkSVD, a matrix factorization algorithm and Item-based collaborative filtering, which utilizes item similarity. This study aims to compare the prediction accuracy of the algorithms when ran on a small and a large dataset. By performing cross-validation on the algorithms, this paper seeks to obtain data that supposedly may clarify ambiguities regarding the ac

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8

Schellekens, Fons Jozef. "Fundamentals, accuracy and input parameters of frost heave prediction models." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ26887.pdf.

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9

Norberg, Sven. "Prediction of the fatigue limit : accuracy of post-processing methods." Licentiate thesis, Stockholm, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4061.

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Schellekens, Fons Jozef Carleton University Dissertation Earth Sciences. "Fundamentals, accuracy and input parameters of frost heave prediction models." Ottawa, 1997.

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11

Chaganti, Vasanta Gayatri. "Wireless body area networks : accuracy of channel modelling and prediction." Phd thesis, Canberra, ACT : The Australian National University, 2014. http://hdl.handle.net/1885/150112.

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12

Jones, Simon. "Ground vibration from underground railways : how simplifying assumptions limit prediction accuracy." Thesis, University of Cambridge, 2010. https://www.repository.cam.ac.uk/handle/1810/226848.

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Noise and vibration from underground railways is a documented disturbance to individuals living or working near subways. Much work has been done to understand and simulate the dynamic interactions between the train, track, tunnel and soil resulting in numerical models which can predict ground-borne vibration around the tunnels and at the soil surface. However, all such numerical models rely on simplifying assumptions to make the problems trackable: soil is assumed homogenous, tunnels are assumed long and straight, the soil is assumed to be in perfect contact with the tunnel, etc. This disserta

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13

Low, Chun Yu Danny. "Prediction of the dimensional accuracy of small extra-coronal titanium castings." University of Sydney, 1998. http://hdl.handle.net/2123/4655.

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Master of Science in Dentistry<br>This work was digitised and made available on open access by the University of Sydney, Faculty of Dentistry and Sydney eScholarship . It may only be used for the purposes of research and study. Where possible, the Faculty will try to notify the author of this work. If you have any inquiries or issues regarding this work being made available please contact the Sydney eScholarship Repository Coordinator - ses@library.usyd.edu.au

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14

Li, Xue. "Incorporating chromatin interaction data to improve prediction accuracy of gene expression." Digital WPI, 2015. https://digitalcommons.wpi.edu/etd-theses/589.

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Genome structure can be classified into three categories: primary structure, secondary structure and tertiary structure, and they are all important for gene transcription regulation. In this research, we utilize the structural information to characterize the correlations and interactions among genes, and involve such information into the Linear Mixed-Effects (LME) model to improve the accuracy of gene expression prediction. In particular, we use chromatin features as predictors and each gene is an observation. Before model training and testing, genes are grouped according to the genome structu

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Thompson, Elizabeth M. "Spelling accuracy with non-fluent aphasia wordprocessing vs. word prediction computer software /." Cincinnati, Ohio : University of Cincinnati, 2005. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1116211390.

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Pei, Jiantao, and n/a. "The Accuracy of Time-to-Contact Estimation in the Prediction Motion Paradigm." University of Canberra. Applied Science, 2002. http://erl.canberra.edu.au./public/adt-AUC20050627.143329.

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This thesis is concerned with the accuracy of our estimation of time to make contact with an approaching object as measured by the “Prediction Motion” (PM) technique. The PM task has commonly been used to measure the ability to judge time to contact (TTC). In a PM task, the observer's view of the target is occluded for some period leading up to the moment of impact. The length of the occlusion period is varied and the observer signals the moment of impact by pressing a response key. The interval separating the moment of occlusion and the response is interpreted as the observer's estimate of TT

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Örn, Henrik. "Accuracy and precision of bedrock sur-face prediction using geophysics and geostatistics." Thesis, KTH, Mark- och vattenteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171859.

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In underground construction and foundation engineering uncertainties associated with subsurface properties are inevitable to deal with. Site investigations are expensive to perform, but a limited understanding of the subsurface may result in major problems; which often lead to an unexpected increase in the overall cost of the construction project. This study aims to optimize the pre-investigation program to get as much correct information out from a limited input of resources, thus making it as cost effective as possible. To optimize site investigation using soil-rock sounding three different

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Kalogerakos, Stamatis. "Slug initiation and prediction using high accuracy methods - applications with field data." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/7553.

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The sponsoring company of the project is BP. The framework within which the research is placed is that of the Transient Multiphase Flow Programme (TMF-4), a consortium of companies that are interested in phenomena related to ﬂow of liquids and gases, in particular with relevance to oil, water and air. The deliverables agreed for the project were: • validating EMAPS through simulations of known problems and experimental and ﬁeld data concerning slug ﬂow • introducing numerical enhancements to EMAPS • decreasing computation times in EMAPS • using multi-dimensional methods to investigate slug ﬂow

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Naghipour, Morteza. "The accuracy of hydrodynamic force prediction for offshore structures and Morison's equation." Thesis, Heriot-Watt University, 1996. http://hdl.handle.net/10399/738.

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Van, Zyl Johet Engela. "Accuracy of risk prediction tools for acute coronary syndrome : a systematic review." Thesis, Stellenbosch : Stellenbosch University, 2015. http://hdl.handle.net/10019.1/97069.

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Thesis (MCur)--Stellenbosch University, 2015.<br>ENGLISH ABSTRACT: Background: Coronary artery disease is a form of cardiovascular disease (CVD) which manifests itself in three ways: angina pectoris, acute coronary syndrome and cardiac death. Thirty-three people die daily of a myocardial infarction (cardiac death) and 7.5 million deaths annually are caused by CVD (51% from strokes and 45% from coronary artery disease) worldwide. Globally, the CVD death rate is a mere 4% compared to South Africa which has a 42% death rate. It is predicted that by the year 2030 there will be 25 million deat

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Dalla, Fontana Silvia <1991&gt. "Credit risk modelling and valuation: testing credit rating accuracy in default prediction." Master's Degree Thesis, Università Ca' Foscari Venezia, 2017. http://hdl.handle.net/10579/9894.

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Credit risk is a forward-looking concept, focusing on the probability of facing credit difficulties in the future. Credit difficulties are represented by the risk of not being paid for goods or services sold to customers. This kind of risk involves all companies from financial services industry to consumer goods. Credit risk has acquired growing importance in recent years which have been characterized by a negative economic situation, started with the US subprime mortgage crisis and the collapse of Lehman Brothers in 2008. The financial crisis intervened before Basel II could become fully eff

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Kumar, Akhil. "Budget-Related Prediction Models in the Business Environment with Special Reference to Spot Price Predictions." Thesis, North Texas State University, 1986. https://digital.library.unt.edu/ark:/67531/metadc331533/.

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The purpose of this research is to study and improve decision accuracy in the real world. Spot price prediction of petroleum products, in a budgeting context, is the task chosen to study prediction accuracy. Prediction accuracy of executives in a multinational oil company is examined. The Brunswik Lens Model framework is used to evaluate prediction accuracy. Predictions of the individuals, the composite group (mathematical average of the individuals), the interacting group, and the environmental model were compared. Predictions of the individuals were obtained through a laboratory experiment i

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THOMPSON, ELIZABETH M. "SPELLING ACCURACY WITH NON-FLUENT APHASIA: WORD PROCESSING V.S. WORD PREDICTION COMPUTER SOFTWARE." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1116211390.

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Parson, Lindsay. "Improving the Accuracy of the VO2 max Prediction Obtained from Submaxial YMCA Testing." TopSCHOLAR®, 2004. http://digitalcommons.wku.edu/theses/510.

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Maximal oxygen uptake (VO2 max) is the best criterion measure for aerobic fitness and the prescription of exercise intensity for programs designed to enhance cardiorespiratory fitness. There are two ways of obtaining VO2 max: maximal tests, which require subjects to exercise to the point of volitional exhaustion and provide the most accurate measure; and submaximal tests, which are less physically strenuous but have lower accuracy. A popular submaximal protocol is the YMCA bike test. Steady state heart rate (HR) is measured at multiple submaximal workloads and extrapolated to the subject's est

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Badenhorst, Dirk Jakobus Pretorius. "Improving the accuracy of prediction using singular spectrum analysis by incorporating internet activity." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/80056.

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Thesis (MComm)--Stellenbosch University, 2013.<br>ENGLISH ABSTRACT: Researchers and investors have been attempting to predict stock market activity for years. The possible financial gain that accurate predictions would offer lit a flame of greed and drive that would inspire all kinds of researchers. However, after many of these researchers have failed, they started to hypothesize that a goal such as this is not only improbable, but impossible. Previous predictions were based on historical data of the stock market activity itself and would often incorporate different types of auxiliary data

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Sowan, Bilal I. "Enhancing Fuzzy Associative Rule Mining Approaches for Improving Prediction Accuracy. Integration of Fuzzy Clustering, Apriori and Multiple Support Approaches to Develop an Associative Classification Rule Base." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5387.

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Building an accurate and reliable model for prediction for different application domains, is one of the most significant challenges in knowledge discovery and data mining. This thesis focuses on building and enhancing a generic predictive model for estimating a future value by extracting association rules (knowledge) from a quantitative database. This model is applied to several data sets obtained from different benchmark problems, and the results are evaluated through extensive experimental tests. The thesis presents an incremental development process for the prediction model with three stag

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Sowan, Bilal Ibrahim. "Enhancing fuzzy associative rule mining approaches for improving prediction accuracy : integration of fuzzy clustering, apriori and multiple support approaches to develop an associative classification rule base." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5387.

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Building an accurate and reliable model for prediction for different application domains, is one of the most significant challenges in knowledge discovery and data mining. This thesis focuses on building and enhancing a generic predictive model for estimating a future value by extracting association rules (knowledge) from a quantitative database. This model is applied to several data sets obtained from different benchmark problems, and the results are evaluated through extensive experimental tests. The thesis presents an incremental development process for the prediction model with three stage

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Trundle, Jennifer. "Manipulating the placement of error: the effect of prediction of accuracy in function learning /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe19217.pdf.

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Gatsiou, Christina-Anna. "Improving the accuracy of lattice energy calculations in crystal structure prediction using experimental data." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/34685.

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Crystal structure prediction (CSP) has been a problem of great industrial interest but also a fundamental challenge in condensed matter science. The problem involves the identification of the stable and metastable crystals of a given compound at certain temperature and pressure conditions. Computational CSP methods based on the lattice energy minimization have been successful in identifying experimentally observed crystals of an organic compound as local minima of the lattice energy landscape but not always with the correct relative stability. This is primarily controlled by the lattice energy

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Yasheen, Sharifa. "Evaluation of Markov Models in Location Based Social Networks in Terms of Prediction Accuracy." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13039.

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Location Based Social Networks has attracted millions of mobile internet users. On their smart phones people can share their locations using social network services. The main purpose of check-ins is to provide other users’ information about places they visit. Location Based Social Network with thousands of check-ins allows users to learn social behavior through spatial-temporal effect, which provides different services such as place recommendation and traffic prediction. Through this information, we can have an idea about important locations in the city and human mobility. The main purpose of

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Li, Yaoman, and 李耀满. "Efficient methods for improving the sensitivity and accuracy of RNA alignments and structure prediction." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hdl.handle.net/10722/195977.

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RNA plays an important role in molecular biology. RNA sequence comparison is an important method to analysis the gene expression. Since aligning RNA reads needs to handle gaps, mutations, poly-A tails, etc. It is much more difficult than aligning other sequences. In this thesis, we study the RNA-Seq align tools, the existing gene information database and how to improve the accuracy of alignment and predict RNA secondary structure. The known gene information database contains a lot of reliable gene information that has been discovered. And we note most DNA align tools are well developed. The

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Christensen, Nikolaj Kruse, Ty Paul A. Ferre, Gianluca Fiandaca, and Steen Christensen. "Voxel inversion of airborne electromagnetic data for improved groundwater model construction and prediction accuracy." COPERNICUS GESELLSCHAFT MBH, 2017. http://hdl.handle.net/10150/623198.

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We present a workflow for efficient construction and calibration of large-scale groundwater models that includes the integration of airborne electromagnetic (AEM) data and hydrological data. In the first step, the AEM data are inverted to form a 3-D geophysical model. In the second step, the 3-D geophysical model is translated, using a spatially dependent petrophysical relationship, to form a 3-D hydraulic conductivity distribution. The geophysical models and the hydrological data are used to estimate spatially distributed petrophysical shape factors. The shape factors primarily work as transl

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Evans, Stephanie Ann. "Gender disparity in the prediction of recidivism the accuracy of the LSI-R modified /." Thesis, [Tuscaloosa, Ala. : University of Alabama Libraries], 2009. http://purl.lib.ua.edu/23.

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Davuluri, Pavani. "Prediction of Breathing Patterns Using Neural Networks." VCU Scholars Compass, 2008. http://scholarscompass.vcu.edu/etd/718.

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During the radio therapy treatment, it has been difficult to synchronize the radiation beam with the tumor position. Many compensation techniques have been used before. But all these techniques have some system latency, up to a few hundred milliseconds. Hence it is necessary to predict tumor position to compensate for the control system latency. In recent years, many attempts have been made to predict the position of a moving tumor during respiration. Analyzing external breathing signals presents a methodology in predicting the tumor position. Breathing patterns vary from very regular to irr

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Ahmed, War, and Mehrdad Bahador. "The accuracy of the LSTM model for predicting the S&P 500 index and the difference between prediction and backtesting." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229415.

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In this paper the question of the accuracy of the LSTM algorithm for predicting stock prices is being researched. The LSTM algorithm is a form of deep learning algorithm. The algorithm takes in a set of data as inputs and finds a pattern to dissolve an output. Our results point to that using backtesting as the sole method to verify the accuracy of a model can fallible. For the future, researchers should take a fresh approach by using real-time testing. We completed this by letting the algorithm make predictions on future data. For the accuracy of the model we reached the conclusion that having

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Holub, Michal. "VLIV GEOMETRICKÉ PŘESNOSTI VYBRANÝCH OBRÁBĚCÍCH CENTER NA POŽADOVANÉ VLASTNOSTI VÝROBKŮ." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-233989.

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The main subject of this doctoral thesis is the influence of the geometrical accuracy of large CNC machine tools on desired features of produced work pieces. Doe to globalized market environment and competition producers of machine tools have changed their strategy for delivery of their products to customers. The main issue is not only to deliver a machine tool as such; supporting instructions related to the technology of the cutting process on the machine tool are of great importance. When taking delivery, the customer can see a new machine tool that will produce by him specified work piece w

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Michalíček, Michal. "PREDIKCE PRACOVNÍ PŘESNOSTI CNC OBRÁBĚCÍCH STROJŮ." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-234159.

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The main research topic of this dissertation thesis deals with the influence of the working accuracy related to large CNC machines on the required workpiece properties. The state-of-the art has constantly been developed and the customer’s requirements directed to manufacturers of the machine tools are increasingly demanding. There is required a high accuracy, reliability, shortening delivery times etc. The manufacturer is expected to fulfill all the customer’s requirements. The machining accuracy is dependent, among others, on the positioning accuracy of a machine tool that represents the posi

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Freitas, Kimberly M. "Improving accuracy of acoustic prediction in the Philippine Sea through incorporation of mesoscale environmental effects." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483645.

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Thesis (M.S. in Meteorology and Physical Oceanography)--Naval Postgraduate School, June 2008.<br>Thesis Advisor(s): Colosi, John A. "June 2008." Description based on title screen as viewed on August 22, 2008. Includes bibliographical references (p. 49-50). Also available in print.

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Wålinder, Andreas. "Evaluation of logistic regression and random forest classification based on prediction accuracy and metadata analysis." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-35126.

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Model selection is an important part of classification. In this thesis we study the two classification models logistic regression and random forest. They are compared and evaluated based on prediction accuracy and metadata analysis. The models were trained on 25 diverse datasets. We calculated the prediction accuracy of both models using RapidMiner. We also collected metadata for the datasets concerning number of observations, number of predictor variables and number of classes in the response variable. There is a correlation between performance of logistic regression and random forest wit

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Segerstedt, Gustav, and Theodor Uhmeier. "How accuracy of time-series prediction for cryptocurrency pricing is affected by the sampling period." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232141.

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Cryptocurrencies and their pertaining market currently succeeds $300billion and has had an all time high surpassing $850 billion. Being able to predict market movements and future valuations for a cryptocurrency would be an invaluable and very profitable tool for designing successful investment strategies. This thesis compares how time series predictions on the cryptocurrency Ether using a long short-term memory (LSTM) neural network is affected by altering the sampling period. Specifically we look at how the sampling periods of 30 minutes, 2 hours and 4 hours affect a prediction horizon of 4

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

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Agarwalla, Yashika. "Prediction of land cover in continental United States using machine learning techniques." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53613.

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Land cover is a reliable source for studying changes in the land use patterns at a large scale. With advent of satellite images and remote sensing technologies, land cover classification has become easier and more reliable. In contrast to the conventional land cover classification methods that make use of land and aerial photography, this research uses small scale Digital Elevation Maps and it’s corresponding land cover image obtained from Google Earth Engine. Two machine learning techniques, Boosted Regression Trees and Image Analogy, have been used for classification of land cover regions i

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Burger, Sarah Beth. "My Spider-Sense Needs Calibrating: Anticipated Reactions to Spider Stimuli Poorly Predict Initial Responding." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/222891.

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The present study attempted to answer two general questions: (1) what is the relation between expected and actual reactions to a spider in individuals afraid of spiders? and (2) are inaccurate expectancies updated on the basis of experience? Behavioral and cognitive-behavioral learning models of fear, treatment protocols developed in relation to these, and recent findings from our laboratory necessitated answers to two additional questions: (3) does the expectation accuracy of individuals who meet DSM-IV criteria for diagnosis with a specific phobia differ from that of individuals who are fear

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Dillon, Joshua V. "Stochastic m-estimators: controlling accuracy-cost tradeoffs in machine learning." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42913.

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m-Estimation represents a broad class of estimators, including least-squares and maximum likelihood, and is a widely used tool for statistical inference. Its successful application however, often requires negotiating physical resources for desired levels of accuracy. These limiting factors, which we abstractly refer as costs, may be computational, such as time-limited cluster access for parameter learning, or they may be financial, such as purchasing human-labeled training data under a fixed budget. This thesis explores these accuracy- cost tradeoffs by proposing a family of estimators that ma

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Graefe, Andreas [Verfasser], and C. [Akademischer Betreuer] Weinhardt. "Prediction Markets versus Alternative Methods : Empirical Tests of Accuracy and Acceptability / Andreas Graefe. Betreuer: C. Weinhardt." Karlsruhe : KIT-Bibliothek, 2009. http://d-nb.info/1014220912/34.

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König, Immanuel [Verfasser]. "An algorithmic approach to increase the context prediction accuracy by utilizing multiple context sources / Immanuel König." Kassel : Universitätsbibliothek Kassel, 2017. http://d-nb.info/1155326016/34.

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Schopp, Pascal [Verfasser], and Albrecht E. [Akademischer Betreuer] Melchinger. "Factors influencing the accuracy of genomic prediction in plant breeding / Pascal Schopp ; Betreuer: Albrecht E. Melchinger." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2019. http://d-nb.info/1176624997/34.

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48

Santos, William O. "An analysis of the prediction accuracy of the U.S. Navy repair turn-around time forecast model." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FSantos.pdf.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, June 2003.<br>Thesis advisor(s): Robert A. Koyak, Samuel E. Buttrey. Includes bibliographical references (p. 55). Also available online.

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49

Schopp, Pascal Verfasser], and Albrecht E. [Akademischer Betreuer] [Melchinger. "Factors influencing the accuracy of genomic prediction in plant breeding / Pascal Schopp ; Betreuer: Albrecht E. Melchinger." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2019. http://d-nb.info/1176624997/34.

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50

Zhai, Yuzheng. "Improving scalability and accuracy of text mining in grid environment." Connect to thesis, 2009. http://repository.unimelb.edu.au/10187/5927.

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The advance in technologies such as massive storage devices and high speed internet has led to an enormous increase in the volume of available documents in electronic form. These documents represent information in a complex and rich manner that cannot be analysed using conventional statistical data mining methods. Consequently, text mining is developed as a growing new technology for discovering knowledge from textual data and managing textual information. Processing and analysing textual information can potentially obtain valuable and important information, yet these tasks also requires enorm

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