Academic literature on the topic 'CONEX information model'
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Journal articles on the topic "CONEX information model"
Ben-Haim, Y. "Convex Models of Uncertainty in Radial Pulse Buckling of Shells." Journal of Applied Mechanics 60, no. 3 (September 1, 1993): 683–88. http://dx.doi.org/10.1115/1.2900858.
Full textWang, Quanhui, En Fan, and Pengfei Li. "Fuzzy-Logic-Based, Obstacle Information-Aided Multiple-Model Target Tracking." Information 10, no. 2 (February 2, 2019): 48. http://dx.doi.org/10.3390/info10020048.
Full textLI, H., and L. Z. JIA. "ASSESSMENT OF DAMAGE AND LOSS OF SEISMICALLY EXCITED STRUCTURES BASED ON CONVEX ANALYSIS." Journal of Earthquake and Tsunami 05, no. 02 (June 2011): 101–18. http://dx.doi.org/10.1142/s1793431111000954.
Full textLi, Sanjiang, and Weiming Liu. "Topological Relations between Convex Regions." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (July 3, 2010): 321–26. http://dx.doi.org/10.1609/aaai.v24i1.7586.
Full textHerskovic, Bernard, and João Ramos. "Acquiring Information through Peers." American Economic Review 110, no. 7 (July 1, 2020): 2128–52. http://dx.doi.org/10.1257/aer.20181798.
Full textYamaka, Woraphon, Rungrapee Phadkantha, and Paravee Maneejuk. "A Convex Combination Approach for Artificial Neural Network of Interval Data." Applied Sciences 11, no. 9 (April 28, 2021): 3997. http://dx.doi.org/10.3390/app11093997.
Full textAgrawal, Akshay, Shane Barratt, and Stephen Boyd. "Learning Convex Optimization Models." IEEE/CAA Journal of Automatica Sinica 8, no. 8 (August 2021): 1355–64. http://dx.doi.org/10.1109/jas.2021.1004075.
Full textShah, S., and M. D. Levine. "Visual information processing in primate cone pathways. I. A model." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 26, no. 2 (April 1996): 259–74. http://dx.doi.org/10.1109/3477.485837.
Full textYang, Yunyun, and Boying Wu. "Convex Image Segmentation Model Based on Local and Global Intensity Fitting Energy and Split Bregman Method." Journal of Applied Mathematics 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/692589.
Full textGallagher, Ryan J., Kyle Reing, David Kale, and Greg Ver Steeg. "Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge." Transactions of the Association for Computational Linguistics 5 (December 2017): 529–42. http://dx.doi.org/10.1162/tacl_a_00078.
Full textDissertations / Theses on the topic "CONEX information model"
Jingzhi, Guo, and n/a. "Integrating Ad Hoc Electronic Product Catalogues Through Collaborative Maintenance of Semantic Consistency." Griffith University. School of Computing and Information Technology, 2005. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20050824.125257.
Full textGuo, Jingzhi. "Integrating Ad Hoc Electronic Product Catalogues Through Collaborative Maintenance of Semantic Consistency." Thesis, Griffith University, 2005. http://hdl.handle.net/10072/365489.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Computing and Information Technology
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Atutey, Olivia Abena. "Linear Mixed Model Selection via Minimum Approximated Information Criterion." Bowling Green State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1594910831256966.
Full textLi, Nan. "Maximum Likelihood Identification of an Information Matrix Under Constraints in a Corresponding Graphical Model." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-theses/128.
Full textKazzi, Rodrigue. "Risk bounds for unimodal distributions under partial information." Master's thesis, Instituto Superior de Economia e Gestão, 2018. http://hdl.handle.net/10400.5/15817.
Full textNeste documento, começamos por estudar os limites superiores para Value-at-Risk, Tail-Value-at-Risk e Range-Value-at-Risk de distribuições unimodais quando apenas os limites superiores da média e da variância são conhecidos. Num primeiro passo, usamos o processo do ordenamento simples convexo para reduzir o problema de otimização a um problema de otimização paramétrico. Num segundo passo, resolvemos este problema de otimização paramétrico e obtemos soluções explícitas para todos os níveis de probabilidade. As nossas soluções são consistentes com as de Li et al. (2018), mas a sua análise é longa e as suas soluções limitadas ao caso em que as probabilidades se encontram no intervalo [5/6; 1[. Em segundo lugar, dado que a hipótese da não negatividade é comum nos estudos atuariais, estudamos como esta hipótese pode melhorar os limites superiores do Value-at-risk. Além disso, aplicamos a análise de dois passos para encontrar o limite superior do Value-at-Risk num cenário em que a função quantil é totalmente conhecida num intervalo específico de níveis de probabilidades. Por fim, avaliamos o risco do modelo que o modelo Beta gera numa carteira específica de créditos. Os resultados mostram que a adição da hipótese da unimodalidade e o conhecimento completo de uma parte da função quantil melhoram os limites superiores do risco. Por outro lado, a hipótese da não negatividade pode não trazer qualquer melhoria no caso de se verificar uma variância pequena ou na avaliação do Value-at-Risk a um nível de probabilidade baixo.
In this paper, we first start off by studying the upper-bounds for the Value-at-Risk, Tail-Value-at-Risk, and Range-Value-at-Risk of unimodal distributions when only their mean and their variance upper-bound are known. In a first step, we use a simple convex ordering argument to reduce the optimization problem to a parametric optimization problem. In a second step, we solve this parametric optimization problem and obtain explicit solutions for all probability levels. Our solutions conform well with those of Li et al. (2018), but their analysis is lengthy and their solutions are limited to the case in which probabilities are in the range [5/6;1[. Secondly, since the non-negativity assumption is common in actuarial studies, we study how this assumption can improve the upper bounds of the Value-at-Risk. Moreover, we utilize our two-step analysis to find the upper-bound of the Value-at-Risk in a scenario where the quantile function is fully trusted over a specific range of probability levels. Finally, we assess the model risk that a Beta model carries in a particular credit portfolio. Results show that the addition of unimodality assumption and the full knowledge of a part of the quantile function do offer an improvement on the risk upper bounds. On the other hand, the non-negativity assumption can lead to a non-improvement in the case of a small variance or an evaluation of the Value-at-Risk on a low probability level.
info:eu-repo/semantics/publishedVersion
Strekalovskiy, Evgeny [Verfasser], Daniel [Akademischer Betreuer] Cremers, and Antonin [Akademischer Betreuer] Chambolle. "Convex Relaxation of Variational Models with Applications in Image Analysis / Evgeny Strekalovskiy. Betreuer: Daniel Cremers. Gutachter: Daniel Cremers ; Antonin Chambolle." München : Universitätsbibliothek der TU München, 2015. http://d-nb.info/1080299394/34.
Full textGeggis, Lorna M. "Do you see what I mean? : Measuring consensus of agreement and understanding of a National Weather Service informational graphic." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002119.
Full textHu, Xu. "Towards efficient learning of graphical models and neural networks with variational techniques." Thesis, Paris Est, 2019. http://www.theses.fr/2019PESC1037.
Full textIn this thesis, I will mainly focus on variational inference and probabilistic models. In particular, I will cover several projects I have been working on during my PhD about improving the efficiency of AI/ML systems with variational techniques. The thesis consists of two parts. In the first part, the computational efficiency of probabilistic graphical models is studied. In the second part, several problems of learning deep neural networks are investigated, which are related to either energy efficiency or sample efficiency
Hägglund, Andreas, and Moa Källgren. "Impact of Engine Dynamics on Optimal Energy Management Strategies for Hybrid Electric Vehicles." Thesis, Linköpings universitet, Fordonssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148890.
Full textBooks on the topic "CONEX information model"
Bâtcă-Dumitru, Graziella Corina, Adriana Florina Popa, Daniela Nicoleta Sahlian, Mihai Vuță, and Cleopatra Sendroiu. Contabilitate. Instrument de business pentru manageri. Editura Universitara, 2021. http://dx.doi.org/10.5682/9786062812577.
Full textBook chapters on the topic "CONEX information model"
Tatu, Marta, Brandon Iles, and Dan Moldovan. "Automatic Answer Validation Using COGEX." In Evaluation of Multilingual and Multi-modal Information Retrieval, 494–501. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74999-8_59.
Full textSarışın, Gözde, and Muhammed Salamah. "Cone Tessellation Model for Three-Dimensional Networks." In Communications in Computer and Information Science, 159–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21937-5_15.
Full textMartin, James, Jamie McClelland, Benjamin Champion, and David J. Hawkes. "Building Surrogate-Driven Motion Models from Cone-Beam CT via Surrogate-Correlated Optical Flow." In Information Processing in Computer-Assisted Interventions, 61–67. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07521-1_7.
Full textBarbaresco, Frederic. "Interactions between Symmetric Cone and Information Geometries: Bruhat-Tits and Siegel Spaces Models for High Resolution Autoregressive Doppler Imagery." In Emerging Trends in Visual Computing, 124–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00826-9_6.
Full textChen, Lijian, and Dustin J. Banet. "Polynomial Approximation for Two Stage Stochastic Programming with Separable Objective." In Innovations in Information Systems for Business Functionality and Operations Management, 322–33. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0933-4.ch019.
Full textSchwartz, Richard Evan. "The Nature of the Compactification." In The Plaid Model, 161–70. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691181387.003.0017.
Full textSchwartz, Richard Evan. "Pinwheels and Quarter Turns." In The Plaid Model, 143–52. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691181387.003.0015.
Full textAletti, Giacomo, Paola Causin, Giovanni Naldi, and Matteo Semplice. "A Multiscale Computational Model of Chemotactic Axon Guidance." In Handbook of Research on Computational and Systems Biology, 628–45. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-491-2.ch028.
Full textWang, Y., Z. Feng, KL Cheng, J. Zhang, L. Xu, TP Lam, ALH Hung, JCY Cheng, Y. Qiu, and WYW Lee. "Role of differentially expressed LBX1 in Adolescent Idiopathic Scoliosis (AIS) paraspinal muscle phenotypes and muscle-bone crosstalk through modulating myoblasts." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210425.
Full textYuzhakov, Sergey. "Reproduction of Images of Convex Figures by a Set of Stored Reference Surfaces." In Handbook of Research on Intelligent Data Processing and Information Security Systems, 264–88. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1290-6.ch011.
Full textConference papers on the topic "CONEX information model"
Qiu, Li, Yong Li, Pan Hui, and Li Su. "Edge-Markovian dynamic graph based information dissemination model for mobile social networks." In The ACM CoNEXT Student Workshop. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2079327.2079344.
Full textBuck, Steven L., and Roger Knight. "Model of dual rod pathways." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1989. http://dx.doi.org/10.1364/oam.1989.fk2.
Full textMu¨ller, Andreas. "Geometric Characterization of the Configuration Space of Rigid Body Mechanisms in Regular and Singular Points." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84712.
Full textTrinkle, J. C., Stephen Berard, and J. S. Pang. "A Time-Stepping Scheme for Quasistatic Multibody Systems." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85266.
Full textThieu, Quang Tung, Marie Luong, Jean-Marie Rocchisani, Emmanuel Viennet, and Dat Tran. "Novel Convex Active Contour Model Using Local and Global Information." In 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2011. http://dx.doi.org/10.1109/dicta.2011.65.
Full textZáhora, Jiří, Zdeňek Hanzálek, and Michal Sojka. "Perception, Planning and Control System for Automated slalom with Porsche Panamera." In FISITA World Congress 2021. FISITA, 2021. http://dx.doi.org/10.46720/f2020-acm-064.
Full textSegala, David B., and Thomas A. Wettergren. "Parameter Exploration in Acoustic Scattering Model With Limited Model Information." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-51786.
Full textHuang, Lili, Liang Xiao, and Zhihui Wei. "An Improved Non-Convex Model for Multiplicative Noise Removal." In 2009 First International Conference on Information Science and Engineering. IEEE, 2009. http://dx.doi.org/10.1109/icise.2009.278.
Full textAmaral da Silva, Jefferson, and Karla Donato Fook. "COP-VW: Cone-over-Projection Directional Model Viewer." In 11th International Conference on Web Information Systems and Technologies. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005449602450252.
Full textHamza, Karim, and Mohammed Shalaby. "Convex Estimators for Optimization of Kriging Model Problems." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48566.
Full textReports on the topic "CONEX information model"
Melnyk, Yuriy. Academic Journal Website Model. KRPOCH, 2018. http://dx.doi.org/10.26697/preprint.melnyk.1.2018.
Full textHefetz, Abraham, and Justin O. Schmidt. Use of Bee-Borne Attractants for Pollination of Nonrewarding Flowers: Model System of Male-Sterile Tomato Flowers. United States Department of Agriculture, October 2003. http://dx.doi.org/10.32747/2003.7586462.bard.
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