Relevant bibliographies by topics / A priori data

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'A priori data'

Author: Grafiati
Published: 22 February 2025

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Journal articles on the topic "A priori data"

1

Filippidis, A. "Data fusion using sensor data and a priori information." Control Engineering Practice 4, no. 1 (1996): 43–53. http://dx.doi.org/10.1016/0967-0661(95)00205-x.

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Pankov, A. R., and A. M. Skuridin. "Data Processing Under A Priori Statistical Uncertainty." IFAC Proceedings Volumes 19, no. 5 (1986): 213–17. http://dx.doi.org/10.1016/s1474-6670(17)59796-7.

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Roberts, R. A. "51458 Limited data tomography using support minimization with a priori data." NDT & E International 27, no. 2 (1994): 105–6. http://dx.doi.org/10.1016/0963-8695(94)90364-6.

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McKee, B. T. A. "Deconvolution of noisy data using a priori constraints." Canadian Journal of Physics 67, no. 8 (1989): 821–26. http://dx.doi.org/10.1139/p89-142.

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The deconvolution of experimental data with noise present is discussed with emphasis on the ill-conditioned nature of the problem and on the need for a priori constraints to select a solution. An analytical Fourier space deconvolution that selects the minimum-norm solution subject to a least-squares constraint is described. The cutoff parameter used in the constraint is evaluated from the statistical fluctuations of the data. This method is illustrated by its application to 3-d image reconstruction for positron emission tomography.
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Lestari, Putri Anggraini, Marnis Nasution, and Syaiful Zuhri Harahap. "Analisa Data Penjualan Pada Apotek Ritonga Farma Menggunakan Data Mining Apriori." INFORMATIKA 12, no. 2 (2024): 180–89. https://doi.org/10.36987/informatika.v12i2.5651.

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A pharmacy is a place or business that is specifically dedicated to providing medicines and other health products to the public. This place is also known as a drugstore or drug store in some countries. Pharmacies provide medicines both prescribed by doctors and over-the-counter (over-the-counter), to help patients cope with health problems they are experiencing.Some pharmacies also offer additional services such as blood pressure checks, vaccinations, simple health checks, and health counseling to the public. In applying a priori methods to pharmacy, a deep understanding of data structure and
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Yi, Guodong, Chuanyuan Zhou, Yanpeng Cao, and Hangjian Hu. "Hybrid Assembly Path Planning for Complex Products by Reusing a Priori Data." Mathematics 9, no. 4 (2021): 395. http://dx.doi.org/10.3390/math9040395.

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Assembly path planning (APP) for complex products is challenging due to the large number of parts and intricate coupling requirements. A hybrid assembly path planning method is proposed herein that reuses a priori paths to improve the efficiency and success ratio. The assembly path is initially segmented to improve its reusability. Subsequently, the planned assembly paths are employed as a priori paths to establish an a priori tree, which is expanded according to the bounding sphere of the part to create the a priori space for path searching. Three rapidly exploring random tree (RRT)-based alg
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Peysson, Flavien, Abderrahmane Boubezoul, Mustapha Ouladsine, and Rachid Outbib. "A Data Driven Prognostic Methodology without a Priori Knowledge." IFAC Proceedings Volumes 42, no. 8 (2009): 1462–67. http://dx.doi.org/10.3182/20090630-4-es-2003.00238.

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Menon, Nanda K., and John A. Hunt. "Optimizing EELS data sets using ‘a priori’ spectrum simulation." Microscopy and Microanalysis 8, S02 (2002): 620–21. http://dx.doi.org/10.1017/s1431927602106040.

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Suhadi, Suhadi, Carsten Last, and Tim Fingscheidt. "A Data-Driven Approach to A Priori SNR Estimation." IEEE Transactions on Audio, Speech, and Language Processing 19, no. 1 (2011): 186–95. http://dx.doi.org/10.1109/tasl.2010.2045799.

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Nasari, Fina Nasari. "Algoritma A Priori Dalam Pengelompokkan Data Pendaftaran Mahasiswa Baru." Jurnal Sains dan Ilmu Terapan 4, no. 1 (2021): 40–45. http://dx.doi.org/10.59061/jsit.v4i1.102.

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Pendaftaran mahasiswa baru merupakan proses penerimaan mahasiswa baru. Proses penerimaan mahasiswa baru yang dilakukan setiap tahunnya menghasilkan data yang semakin besar. Data yang besar jika tidak dimanfaatkan dengan baik, hanya akan memenuhkan memory penyimpanan. Data mining menjadi salah satu solusi untuk mendapatkan sebuah informasi baru dari pengolahan data-data lama. Ada beberapa fungsi data maning diantaranya assosiasi, klasifikasi, clustering, prediksi serta pengenalan pola. Algoritma Apriori adalah salah satu algoritma dalam data mining yang melihat hubungan antara satu item set den
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Dissertations / Theses on the topic "A priori data"

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SALAS, PERCY ENRIQUE RIVERA. "STDTRIP: AN A PRIORI DESIGN PROCESS FOR PUBLISHING LINKED DATA." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2011. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28907@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>A abordagem de Dados Abertos tem como objetivo promover a interoperabilidade de dados na Web. Consiste na publicação de informações em formatos que permitam seu compartilhamento, descoberta, manipulação e acesso por parte de usuários e outros aplicativos de software. Essa abordagem requer a triplificação de conjuntos de dados, ou seja, a conversão do esquema de bases de dados relacionais, bem como suas instâncias, em triplas RDF. Uma questão
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Egidi, Leonardo. "Developments in Bayesian Hierarchical Models and Prior Specification with Application to Analysis of Soccer Data." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3427270.

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In the recent years the challenge for new prior specifications and for complex hierarchical models became even more relevant in Bayesian inference. The advent of the Markov Chain Monte Carlo techniques, along with new probabilistic programming languages and new algorithms, extended the boundaries of the field, both in theoretical and applied directions. In the present thesis, we address theoretical and applied tasks. In the first part we propose a new class of prior distributions which might depend on the data and specified as a mixture between a noninformative and an informative prior. The ge
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Tan, Rong Kun Jason. "Scalable Data-agnostic Processing Model with a Priori Scheduling for the Cloud." Thesis, Curtin University, 2019. http://hdl.handle.net/20.500.11937/75449.

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Cloud computing is identified to be a promising solution to performing big data analytics. However, the maximization of cloud utilization incorporated with optimizing intranode, internode, and memory management is still an open-ended challenge. This thesis presents a novel resource allocation model for cloud to load-balance data-agnostic tasks, minimizing intranode and internode delays, and decreasing memory consumption where these processes are involved in big data analytics. In conclusion, the proposed model outperforms existing techniques.
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Bussy, Victor. "Integration of a priori data to optimise industrial X-ray tomographic reconstruction." Electronic Thesis or Diss., Lyon, INSA, 2024. http://www.theses.fr/2024ISAL0116.

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Cette thèse explore des sujets de recherche dans le domaine du contrôle non destructif industriel par rayons X (CND). L’application de la tomographie CT s’est considérablement étendue et son utilisation s'est intensifiée dans de nombreux secteurs industriels. En raison des exigences croissantes et des contraintes sur les processus de contrôle, la CT se doit de constamment évoluer et s'adapter. Que ce soit en termes de qualité de reconstruction ou en temps d’inspection, la tomographie par rayons X est en constante progression, notamment dans ce qu’on appelle la stratégie de vues éparses. Cette
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Skrede, Ole-Johan. "Explicit, A Priori Constrained Model Parameterization for Inverse Problems, Applied on Geophysical CSEM Data." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for matematiske fag, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-27343.

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This thesis introduce a new parameterization of the model space in global inversion problems. The parameterization provides an explicit representation of the model space with a basis constrained on a priori information about the problem at hand. It is able to represent complex model structures with few parameters, and thereby enhancing the speed of the inversion, as the number of iterations needed to converge is heavily scaled with the number of parameters in stochastic, global inversion methods. A standard Simulated Annealing optimization routine is implemented, and further extended to be abl
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Kindlund, Andrée. "Inversion of SkyTEM Data Based on Geophysical Logging Results for Groundwater Exploration in Örebro, Sweden." Thesis, Luleå tekniska universitet, Geovetenskap och miljöteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85315.

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Declining groundwater tables threatens several municipalities in Sweden which drinking water is collected from. To ensure a sound drinking water supply, the Geological Survey of Sweden has initiated a groundwater exploration plan. Airborne electromagnetic measurements have seen an uprise in hydrogeophysical projects and have a great potential to achieve high-quality models, especially when combined with drilling data. In 2018, the Geological Survey of Sweden conducted an airborne electromagnetic survey, using the SkyTEM system, in the outskirts of Örebro, Sweden. SkyTEM is a time-domain system
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Beretta, Valentina. "évaluation de la véracité des données : améliorer la découverte de la vérité en utilisant des connaissances a priori." Thesis, IMT Mines Alès, 2018. http://www.theses.fr/2018EMAL0002/document.

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Face au danger de la désinformation et de la prolifération de fake news (fausses nouvelles) sur le Web, la notion de véracité des données constitue un enjeu crucial. Dans ce contexte, il devient essentiel de développer des modèles qui évaluent de manière automatique la véracité des informations. De fait, cette évaluation est déjà très difficile pour un humain, en raison notamment du biais de confirmation qui empêche d’évaluer objectivement la fiabilité des informations. De plus, la quantité d'informations disponibles sur le Web rend cette tâche quasiment impossible. Il est donc nécessaire de d
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Denaxas, Spiridon Christoforos. "A novel framework for integrating a priori domain knowledge into traditional data analysis in the context of bioinformatics." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492124.

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Recent advances in experimental technology have given scientists the ability to perform large-scale multidimensional experiments involving large data sets. As a direct implication, the amount of data that is being generated is rising in an exponential manner. However, in order to fully scrutinize and comprehend the results obtained from traditional data analysis approaches, it has been proven that a priori domain knowledge must be taken into consideration. Infusing existing knowledge into data analysis operations however is a non-trivial task which presents a number of challenges. This researc
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Katragadda, Mohit. "Development of flame surface density closure for turbulent premixed flames based on a priori analysis of direct numerical simulation data." Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/2195.

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In turbulent premixed flames the modelling of mean or filtered reac tion rate translates to the closure of flame surface to volume ratio, which is commonly referred to as the Flame Surface Density(FSD). The FSD based reaction rate closure is well established in the context of Reynolds Averaged Navier-Stokes (RANS) simulations for unity Lewis numbers. However, models for FSD in context of Large Eddy Simulations (LES) are relatively rare. In this study three-dimensional Direct Numerical Simulations (DNS) of freely propagating statistically planar premixed flames encompassing a range of different turb
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Rouault-Pic, Sandrine. "Reconstruction en tomographie locale : introduction d'information à priori basse résolution." Phd thesis, Université Joseph Fourier (Grenoble), 1996. http://tel.archives-ouvertes.fr/tel-00005016.

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Un des objectifs actuel en tomographie est de réduire la dose injectée au patient. Les nouveaux systèmes d'imagerie, intégrant des détecteurs haute résolution de petites tailles ou des sources fortement collimatées permettent ainsi de réduire la dose. Ces dispositifs mettent en avant le problème de reconstruction d'image à partir d'informations locales. Un moyen d'aborder le problème de tomographie locale est d'introduire une information à priori, afin de lever la non-unicité de la solution. Nous proposons donc de compléter les projections locales haute résolution (provenant de systèmes décrit
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Books on the topic "A priori data"

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Stroobandt, Dirk. A priori wire length estimates for digital design. Kluwer Academic Publishers, 2001.

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Kovtoni͡uk, N. F. Fotochuvstvitelʹnye MDP-pribory dli͡a preobrazovanii͡a izobrazheniĭ. "Radio i svi͡azʹ", 1990.

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Henryk, Maciejewski. Predictive modelling in high-dimensional data: Prior domain knowledge-based approaches. Oficyna Wydawnicza Politechniki Wrocławskiej, 2013.

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D, Orli͡a︡nskiĭ A., та Gosudarstvennyĭ komitet SSSR po gidrometeorologii i kontroli͡u︡ prirodnoĭ sredy., ред. Pribory, ustanovki, avtomatizat͡s︡ii͡a︡ v ėksperimentalʹnoĭ meteorologii. Moskovskoe otd-nie Gidrometeoizdata, 1985.

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S, Kaniovskiĭ S., Bodner Vasiliĭ Afanasʹevich, Seleznev A. V та Moskovskiĭ institut priborostroenii͡a︡, ред. Tochnye pribory i izmeritelʹnye sistemy. MIP, 1992.

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S, Kaniovskiĭ S., та Moskovskiĭ institut priborostroenii͡a︡, ред. Tochnye pribory i izmeritelʹnye sistemy. MIP, 1990.

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Gorn, L. S. Programmno-upravli͡a︡emye pribory i kompleksy dli͡a︡ izmerenii͡a︡ ionizirui͡u︡shchego izluchenii͡a︡. Ėnergoatomizdat, 1985.

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Gorn, L. S. Programmno-upravli︠a︡emye pribory i kompleksy dli︠a︡ izmerenii︠a︡ ionizirui︠u︡shchego izluchenii︠a︡. Ėnergoatomizdat, 1985.

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Scott Jones, Julie. Learn to Clean and Prepare Scale Data Prior to Descriptive Analysis Using Data From the General Social Survey (2018). SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529605105.

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Scott Jones, Julie. Learn to Clean and Prepare Categorical Data Prior to Descriptive Analysis Using Data From the General Social Survey (2018). SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529605037.

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Book chapters on the topic "A priori data"

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Racke, Reinhard. "Weighted a priori estimates for small data." In Lectures on Nonlinear Evolution Equations. Vieweg+Teubner Verlag, 1992. http://dx.doi.org/10.1007/978-3-663-10629-6_8.

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Racke, Reinhard. "Weighted a priori estimates for small data." In Lectures on Nonlinear Evolution Equations. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21873-1_8.

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Roberts, R. A. "Limited Data Tomography Using Support Minimization with a Priori Data." In Review of Progress in Quantitative Nondestructive Evaluation. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3344-3_96.

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Boari, Giuseppe, Gabriele Cantaluppi, and Marta Nai Ruscone. "Scale Reliability Evaluation for A-Priori Clustered Data." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06692-9_5.

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Wang, Cong, Tonghui Wang, David Trafimow, Hui Li, Liqun Hu, and Abigail Rodriguez. "Extending the A Priori Procedure (APP) to Address Correlation Coefficients." In Data Science for Financial Econometrics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48853-6_10.

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Roberts, R. A., and O. Ertekin. "Support Minimized Limited View CT Using a Priori Data." In Review of Progress in Quantitative Nondestructive Evaluation. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2848-7_48.

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Temme, T., and R. Decker. "Analysis of A Priori Defined Groups in Applied Market Research." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60187-3_57.

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Fujita, Hamido, and Yu-Chien Ko. "A Priori Membership for Data Representation: Case Study of SPECT Heart Data Set." In Recent Advances in Intelligent Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14350-3_4.

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Ásmundsdóttir, Rúna, Yusen Chen, and Henk J. van Zuylen. "Dynamic Origin–Destination Matrix Estimation Using Probe Vehicle Data as A Priori Information." In Traffic Data Collection and its Standardization. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6070-2_7.

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Orchel, Marcin. "Support Vector Regression with A Priori Knowledge Used in Order Execution Strategies Based on VWAP." In Advanced Data Mining and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25856-5_24.

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Conference papers on the topic "A priori data"

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Tsitsipas, Athanasios, Pascal Schiessle, and Lutz Schubert. "Scotty: Fast a priori Structure-based Extraction from Time Series." In 2021 IEEE International Conference on Big Data (Big Data). IEEE, 2021. http://dx.doi.org/10.1109/bigdata52589.2021.9671513.

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Challal, Zakia, and Thouraya Bouabana-Tebibel. "A priori replica placement strategy in data grid." In 2010 International Conference on Machine and Web Intelligence (ICMWI). IEEE, 2010. http://dx.doi.org/10.1109/icmwi.2010.5647925.

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Conrad, Kevin L., John R. Galloway, William P. Irwin, et al. "Perception and Autonomous Navigation Using a Priori Data." In SAE 2006 World Congress & Exhibition. SAE International, 2006. http://dx.doi.org/10.4271/2006-01-1160.

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Razansky, Daniel, and Vasilis Ntziachristos. "Fluorescence molecular tomography using a priori photoacoustic data." In Biomedical Optics (BiOS) 2008, edited by Alexander A. Oraevsky and Lihong V. Wang. SPIE, 2008. http://dx.doi.org/10.1117/12.764272.

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Itert, Lukasz, Wtodzislaw Duch, and John Pestian. "Influence of a priori Knowledge on Medical Document Categorization." In 2007 IEEE Symposium on Computational Intelligence and Data Mining. IEEE, 2007. http://dx.doi.org/10.1109/cidm.2007.368868.

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Chen, Jiangping, Rong Wang, and Xuehua Tang. "An improved algorithm of a priori based on geostatistics." In International Conference on Earth Observation Data Processing and Analysis, edited by Deren Li, Jianya Gong, and Huayi Wu. SPIE, 2008. http://dx.doi.org/10.1117/12.815695.

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Kosaka, M., K. Koizumi, and H. Shibata. "Automatic initialization of adaptive control using a priori data." In 1999 European Control Conference (ECC). IEEE, 1999. http://dx.doi.org/10.23919/ecc.1999.7099316.

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Samoylov, Alexey, Nikolay Sergeev, Margarita Kucherova, and Boris Denisov. "Methodology of Big Data Integration from A Priori Unknown Heterogeneous Data Sources." In the 2018 2nd International Conference. ACM Press, 2018. http://dx.doi.org/10.1145/3297156.3297249.

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Ruud, B. O., and T. A. Johansen. "Seismic Inversion Using Well-Log Data as a Priori Information." In 64th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 2002. http://dx.doi.org/10.3997/2214-4609-pdb.5.p292.

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"Reliability Evaluating Theory for Data Sample with Unknown Priori Information." In 2018 3rd International Conference on Computer Science and Information Engineering. Clausius Scientific Press, 2018. http://dx.doi.org/10.23977/iccsie.2018.1054.

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Reports on the topic "A priori data"

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Xu, Ling, and Anthony Stentz. Cost-based Registration using A Priori Data for Mobile Robot Localization. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada525649.

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Mock, Clara, Christopher Rinderspacher, and Brandon McWilliams. Physics-Guided Neural Network for Regularization and Learning Unbalanced Data Sets: A Priori Prediction of Melt Pool Width Variation in Directed Energy Deposition. DEVCOM Army Research Laboratory, 2023. http://dx.doi.org/10.21236/ad1196030.

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McCall, Jamie, Natalie Prochaska, and James Onorevole. Identifying Reasons for Small and Medium-Sized Firm Closures in North Carolina: An Exploratory Framework Leveraging Administrative Data. Carolina Small Business Development Fund, 2022. http://dx.doi.org/10.46712/firm.closure.reasons.

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Business failure is a natural part of the development lifecycle. In a healthy economy, the formations and dissolutions of small firms drive innovation through the process of creative destruction. However, an excessive level of involuntary closures lowers both economic mobility and community social capital. We partnered with the North Carolina Secretary of State’s Office (NCSOS) to identify factors that might be driving involuntary firm closures using administrative data. This analysis outlines our recommendation to use an exploratory open-ended survey instrument which targets dissolved firm ow
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McDonagh, Marian S., Roger Chou, Jesse Wagner, et al. Living Systematic Reviews: Practical Considerations for the Agency for Healthcare Research and Quality Evidence-based Practice Center Program. Agency for Healthcare Research and Quality (AHRQ), 2022. http://dx.doi.org/10.23970/ahrqepcwhitepaperlsr.

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Living systematic reviews are a relatively new approach to keeping the evidence in systematic reviews current by frequent surveillance and updating. The Agency for Healthcare Research and Quality’s Evidence-based Practice Center Program recently commissioned a systematic review of plant-based treatments for chronic pain management. This white paper describes the team’s experience in implementing the protocol that was developed a priori, and reflects on the challenges faced and lessons learned in the process of developing and maintaining a living systematic review. Challenges related to scoping
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Filipiak, Katarzyna, Dietrich von Rosen, Martin Singull, and Wojciech Rejchel. Estimation under inequality constraints in univariate and multivariate linear models. Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/lith-mat-r-2024-01.

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In this paper least squares and maximum likelihood estimates under univariate and multivariate linear models with a priori information related to maximum effects in the models are determined. Both loss functions (the least squares and negative log-likelihood) and the constraints are convex, so the convex optimization theory can be utilized to obtain estimates, which in this paper are called Safety belt estimates. In particular, the complementary slackness condition, common in convex optimization, implies two alternative types of solutions, strongly dependent on the data and the restriction. It
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Volpe Martincus, Christian, and Jerónimo Carballo. Beyond The Average Effects: The Distributional Impacts of Export Promotion Programs in Developing Countries. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0011214.

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Do all exporters benefit the same from export promotion programs? Surprisingly, not matter how obvious this question may a priori be when thinking of the effectiveness of these programs there is virtually no empirical evidence on how they affect export performance in different parts of the distribution of export outcomes. This paper aims at filling this gap in the literature. We assess the distributional impacts of trade promotion activities performing efficient semiparametric quantile treatment effect estimation on assistance, total sales, and highly disaggregated export data for the whole po
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Volpe Martincus, Christian, and Jerónimo Carballo. Export Promotion Activities in Developing Countries: What kind of Trade Do They Promote? Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0011217.

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Information problems involved in trading differentiated goods are a priori acuter than those associated with trading more homogeneous products. The impact of export promotion activities intending to address these problems can be therefore expected to differ across goods with different degree of differentiation. Empirical evidence on this respect is virtually inexistent. This paper aims at filling this gap in the literature by providing estimates of the effect of these activities over firms trading different goods using highly disaggregated export data for the whole population of Costa Rican ex
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8

Juden, Matthew, Tichaona Mapuwei, Till Tietz, et al. Process Outcome Integration with Theory (POInT): academic report. Centre for Excellence and Development Impact and Learning (CEDIL), 2023. http://dx.doi.org/10.51744/crpp5.

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This paper describes the development and testing of a novel approach to evaluating development interventions – the POInT approach. The authors used Bayesian causal modelling to integrate process and outcome data to generate insights about all aspects of the theory of change, including outcomes, mechanisms, mediators and moderators. They partnered with two teams who had evaluated or were evaluating complex development interventions: The UPAVAN team had evaluated a nutrition-sensitive agriculture intervention in Odisha, India, and the DIG team was in the process of evaluating a disability-inclus
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9

Baltagi, Badi H., Georges Bresson, Anoop Chaturvedi та Guy Lacroix. Robust dynamic space-time panel data models using ε-contamination: An application to crop yields and climate change. CIRANO, 2023. http://dx.doi.org/10.54932/ufyn4045.

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This paper extends the Baltagi et al. (2018, 2021) static and dynamic ε-contamination papers to dynamic space-time models. We investigate the robustness of Bayesian panel data models to possible misspecification of the prior distribution. The proposed robust Bayesian approach departs from the standard Bayesian framework in two ways. First, we consider the ε-contamination class of prior distributions for the model parameters as well as for the individual effects. Second, both the base elicited priors and the ε-contamination priors use Zellner (1986)’s g-priors for the variance-covariance matric
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10

Gentillon, Cynthia, Cory Atwood, Andrea Mack, and Zhegang Ma. EVALUATION OF WEAKLY INFORMED PRIORS FOR FLEX DATA. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1693425.

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