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Статті в журналах з теми "Exploration models"
Phillips, Thelma M. "Exploration of Theoretical Models." Nursing Science Quarterly 27, no. 4 (September 22, 2014): 308–14. http://dx.doi.org/10.1177/0894318414546409.
Повний текст джерелаWimsatt, William C. "Models and experiments? An exploration." Biology & Philosophy 30, no. 2 (July 10, 2014): 293–98. http://dx.doi.org/10.1007/s10539-014-9451-1.
Повний текст джерелаDoganova, Liliana. "Economic models as exploration devices." Journal of Economic Methodology 22, no. 2 (April 3, 2015): 249–53. http://dx.doi.org/10.1080/1350178x.2015.1037544.
Повний текст джерелаRylskiу, Ilya. "Lidar virtual models for seismic exploration." InterCarto. InterGIS 27, no. 1 (2021): 304–16. http://dx.doi.org/10.35595/2414-9179-2021-1-27-304-316.
Повний текст джерелаde Souza e Silva, Edmundo, and Pedro Mejiá Ochoa. "State space exploration in Markov models." ACM SIGMETRICS Performance Evaluation Review 20, no. 1 (June 1992): 152–66. http://dx.doi.org/10.1145/149439.133100.
Повний текст джерелаOtto, Gordon H. "Statistical Models for Optimizing Mineral Exploration." Technometrics 32, no. 4 (November 1990): 460–61. http://dx.doi.org/10.1080/00401706.1990.10484750.
Повний текст джерелаRoman, Gruia-Catalin, and Jamie Payton. "A principled exploration of coordination models." Theoretical Computer Science 336, no. 2-3 (May 2005): 367–401. http://dx.doi.org/10.1016/j.tcs.2004.11.012.
Повний текст джерелаBeyer, Uwe, and Frank Śmieja. "Data exploration with reflective adaptive models." Computational Statistics & Data Analysis 22, no. 2 (July 1996): 193–211. http://dx.doi.org/10.1016/0167-9473(95)00048-8.
Повний текст джерелаThompson, David R., Alberto Candela, David S. Wettergreen, Eldar Noe Dobrea, Gregg A. Swayze, Roger N. Clark, and Rebecca Greenberger. "Spatial Spectroscopic Models for Remote Exploration." Astrobiology 18, no. 7 (July 2018): 934–54. http://dx.doi.org/10.1089/ast.2017.1782.
Повний текст джерелаŁucki, Zbigniew, and Zbigniew Szkutnik. "Petroleum exploration models—Estimation and applications." Mathematical Geology 21, no. 5 (July 1989): 495–512. http://dx.doi.org/10.1007/bf00894665.
Повний текст джерелаДисертації з теми "Exploration models"
Gross, Joshua. "An exploration of stochastic models." Kansas State University, 2014. http://hdl.handle.net/2097/17656.
Повний текст джерелаDepartment of Mathematics
Nathan Albin
The term stochastic is defined as having a random probability distribution or pattern that may be analyzed statistically but may not be predicted precisely. A stochastic model attempts to estimate outcomes while allowing a random variation in one or more inputs over time. These models are used across a number of fields from gene expression in biology, to stock, asset, and insurance analysis in finance. In this thesis, we will build up the basic probability theory required to make an ``optimal estimate", as well as construct the stochastic integral. This information will then allow us to introduce stochastic differential equations, along with our overall model. We will conclude with the "optimal estimator", the Kalman Filter, along with an example of its application.
Carter, Faye Isobel. "Exploration of siblings' explanatory models of autism." Diss., Restricted to subscribing institutions, 2008. http://proquest.umi.com/pqdweb?did=1581479771&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Повний текст джерелаKamphans, Thomas. "Models and algorithms for online exploration and search." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980408121.
Повний текст джерелаGosch, Aron. "Exploration of 5G Traffic Models using Machine Learning." Thesis, Linköpings universitet, Databas och informationsteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168160.
Повний текст джерелаDue to COVID-19 the presentation was performed over ZOOM.
Havercroft, William G. "Exploration of marginal structural models for survival outcomes." Thesis, University of Bristol, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.684750.
Повний текст джерелаMulchahey, Kenneth E. "Exploration of Complexities for Migration of Software-Licensing Models." Thesis, Capella University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13806407.
Повний текст джерелаSome independent software vendors might not endure the reduction in revenue and increased costs associated when they switch software license models. The lack of identified and prioritized complexities might lead to potential increased revenue loss or prevent small and medium-sized independent software vendors within the United States from migrating from perpetual software licensing to subscription-based models. The purpose of this qualitative case study was to explore, document, and describe organizational complexities and their prioritization in contributing to the failure or success of software license model migration. The research questions for this qualitative case study included a Primary Research Question: What complexities can senior management of small and medium-sized independent software vendors (ISV) encounter when migrating from a perpetual license model to a subscription-based licensing model? Supporting Research Question 1: What is the prioritization of the complexities determined to be a factor in the migration of software licensing models? Supporting Research Question 2: How do identifying and prioritizing complexities affect decision-making to mitigate potential initial revenue loss? For this study, eight managers were recruited from a small to medium sized independent software vendor. Specifically, participants in the sample were managers who have worked within the software industry for at least four years, had knowledge of the company’s existing software license model, and were involved in the consideration of migrating from a perpetual license model to a subscription-based licensing model. The data collection methods for this research were face-to-face interviews, a focus group, and direct observations. The multi-criteria decision analysis theory and diffusion of influence theory served as the conceptual framework for this research. The framework provided a model for software vendor executives to identify and prioritize complexities and reduce the initial loss of revenue during license migration. Eight themes emerged: financial, go-to-market, infrastructure, reorganization, security, training, and unknown strategy. There was a consistency between the themes and literature. The data was consistent with the multi-criteria decision and diffusion of influence theories. The results indicated four key findings: support functions were less aware of complexities, no evidence of a clear strategic plan was present, the most significant complexity anticipated was the go-to-market complexity, and there was a direct effect on decision-making in identifying and prioritizing complexities. Exploring and understanding the totality of complexities an independent software vendor may encounter, the prioritization of those complexities, and adjusting decision-making to compensate for those complexities, while establishing and following a communicated strategic plan may significantly reduce the potential for financial loss, increase market positioning and competitive advantage. The results and limitations may provide areas for future research. Future studies should seek to conduct similar studies with multiple independent software vendors to provide additional levels of validation and reliability. Such studies should include independent software vendors who have successfully and unsuccessfully migrated license models.
Gaier, Adam. "Accelerating Evolutionary Design Exploration with Predictive and Generative Models." Electronic Thesis or Diss., Université de Lorraine, 2020. http://www.theses.fr/2020LORR0087.
Повний текст джерелаOptimization plays an essential role in industrial design, but is not limited to minimization of a simple function, such as cost or strength. These tools are also used in conceptual phases, to better understand what is possible. To support this exploration we focus on Quality Diversity (QD) algorithms, which produce sets of varied, high performing solutions. These techniques often require the evaluation of millions of solutions -- making them impractical in design cases. In this thesis we propose methods to radically improve the data-efficiency of QD with machine learning, enabling its application to design. In our first contribution, we develop a method of modeling the performance of evolved neural networks used for control and design. The structures of these networks grow and change, making them difficult to model -- but with a new method we are able to estimate their performance based on their heredity, improving data-efficiency by several times. In our second contribution we combine model-based optimization with MAP-Elites, a QD algorithm. A model of performance is created from known designs, and MAP-Elites creates a new set of designs using this approximation. A subset of these designs are the evaluated to improve the model, and the process repeats. We show that this approach improves the efficiency of MAP-Elites by orders of magnitude. Our third contribution integrates generative models into MAP-Elites to learn domain specific encodings. A variational autoencoder is trained on the solutions produced by MAP-Elites, capturing the common “recipe” for high performance. This learned encoding can then be reused by other algorithms for rapid optimization, including MAP-Elites. Throughout this thesis, though the focus of our vision is design, we examine applications in other fields, such as robotics. These advances are not exclusive to design, but serve as foundational work on the integration of QD and machine learning
Garcia, Gomez David. "Exploration of customer churn routes using machine learning probabilistic models." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/144660.
Повний текст джерелаKamphans, Tom [Verfasser]. "Models and Algorithms for Online Exploration and Search / Tom Kamphans." Aachen : Shaker, 2011. http://d-nb.info/1098040260/34.
Повний текст джерелаOst, Luciano Copello. "Abstract models of NoC-based MPSoCs for design space exploration." Pontifícia Universidade Católica do Rio Grande do Sul, 2010. http://hdl.handle.net/10923/1663.
Повний текст джерелаNoC-based MPSoCs can provide massive computing power on a single chip, achieving hundreds of billions of operations per second by employing dozens of processing cores that communicate over a packet-switched network at a rate that exceeds 100 Tbps. Such devices can support the convergence of several appliances (e. g. HDTV, multiple wireless communication standards, media players, gaming) due to their comparatively high performance, flexibility and power efficiency. Due to the vast design space alternatives, evaluating the NoC-based MPSoCs at lower abstraction levels does not provide the required support to find out the most efficient NoC architecture considering the performance constraints (e. g. latency, power) of a given application at early design process stages. Thus, NoC-based MPSoCs design requires simple and accurate high level models in order to achieve precise performance results, of each design alternative, in an acceptable design time. In this context, the present Thesis has two main contributions: (i) development of abstract NoC models, providing accurate performance evaluation; and (ii) integration of the proposed models into a model-based design flow, allowing the design space exploration of NoC-based MPSoCs at early stages of the design flow.
MPSoCs baseados em NoCs podem fornecer alto desempenho em um único circuito integrado, atingindo centenas de bilhões de operações por segundo através do emprego de múltiplos elementos de processamento que se comunicam através de uma NoC operando a uma freqüência que excede 100 Tbps. Tais dispositivos podem suportar a execução simultânea de múltiplas aplicações (e. g. HDTV, múltiplos padrões de comunicação sem fio, tocadores multimídia, jogos), devido a características como alto desempenho, flexibilidade e eficiência em termos de consumo de energia. Devido a quantidade de alternativas inerentes ao grande espaço de projeto, a avaliação de MPSoCs baseados em NoCs em baixo níveis de abstração não prove o suporte necessário para encontrar a melhor arquitetura para a NoC considerando métricas de desempenho (e. g. latência, potência) de uma dada aplicação nas fases iniciais de projeto. Dessa forma, o projeto de MPSoCs baseados em NoCs requer modelos simples e precisos em alto nível de abstração, os quais possam gerar resultados precisos de desempenho, de cada alternativa de projeto, em um tempo de projeto razoável. Neste contexto, a presente Tese tem duas contribuições principais: (i) desenvolvimento de modelos de NoC abstratos, e (ii) integração dos modelos propostos dentro de um fluxo de projeto baseado em modelos, permitindo assim a exploração do espaço de projeto de MPSoCs baseados em NoCs nas fases iniciais do fluxo projeto.
Книги з теми "Exploration models"
G, De Geoffroy J., ed. Statistical models for optimizing mineral exploration. New York: Plenum Press, 1987.
Знайти повний текст джерелаWignall, T. K., and J. De Geoffroy. Statistical Models for Optimizing Mineral Exploration. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1861-3.
Повний текст джерелаSandstone depositional models for exploration for fossil fuels. 3rd ed. Boston: International Human Resources Development Corp., 1985.
Знайти повний текст джерелаObstfeld, Maurice. Dynamic seigniorage theory: An exploration. Cambridge, Mass: National Bureau of Economic Research, 1989.
Знайти повний текст джерелаObstfeld, Maurice. Dynamic seigniorage theory: An exploration. London: Centre for Economic Policy Research, 1991.
Знайти повний текст джерелаComin, Diego. An exploration of technology diffusion. Cambridge, Mass: National Bureau of Economic Research, 2006.
Знайти повний текст джерелаComin, Diego. An exploration of technology diffusion. Cambridge, MA: National Bureau of Economic Research, 2006.
Знайти повний текст джерелаGeoffroy, J. G. De. Designing optimalstrategies for mineral exploration. New York: Plenum, 1985.
Знайти повний текст джерелаOdada, J. E. O. An aggregate consumption function for Namibia: An empirical exploration. Windhoek, Namibia: University of Namibia, Multi-disciplinary Research Consultancy Centre, Social Sciences Division, 2000.
Знайти повний текст джерелаExploration and innovation in design: Towards a computational model. New York: Springer-Verlag, 1991.
Знайти повний текст джерелаЧастини книг з теми "Exploration models"
Zhou, Xiang Sean, Yong Rui, and Thomas S. Huang. "Probabilistic Local Structure Models." In Exploration of Visual Data, 39–52. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0497-9_4.
Повний текст джерелаLaake, Andreas. "Digital Relief Models." In Remote Sensing for Hydrocarbon Exploration, 53–66. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73319-3_4.
Повний текст джерелаStetter, Martin. "Computational Models of Early Vision." In Exploration of Cortical Function, 189–206. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/978-94-010-0430-5_9.
Повний текст джерелаHall, Greg. "Conceptual models in gold exploration." In Mineral Deposit Research: Meeting the Global Challenge, 1461–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-27946-6_371.
Повний текст джерелаTedesco, Steven A. "Grids, Surveys, Models, and Economics." In Surface Geochemistry in Petroleum Exploration, 192–200. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2660-5_13.
Повний текст джерелаColman, T. B., J. D. Cornwell, D. G. Jones, J. A. Plant, K. Smith, and A. S. D. Walker. "Exploration Criteria." In Metallogenic models and exploration criteria for buried carbonate-hosted ore deposits—a multidisciplinary study in eastern England, 135–37. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-7184-5_9.
Повний текст джерелаSolis, C. Vanessa, P. Ana León, and Oscar Pastor Lopez. "Genomic Databases Exploration Using Conceptual Models." In Advances in Intelligent Systems and Computing, 83–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35740-5_6.
Повний текст джерелаSinvhal, Amita, and Harsha Sinvhal. "Monte Carlo Models in Oil Exploration." In Seismic Modelling and Pattern Recognition in Oil Exploration, 11–32. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2570-3_2.
Повний текст джерелаSinvhal, Amita, and Harsha Sinvhal. "Morkov Chain Models in Oil Exploration." In Seismic Modelling and Pattern Recognition in Oil Exploration, 33–61. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2570-3_3.
Повний текст джерелаKnorreck, Daniel, Ludovic Apvrille, and Renaud Pacalet. "Fast Simulation Techniques for Design Space Exploration." In Objects, Components, Models and Patterns, 308–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02571-6_18.
Повний текст джерелаТези доповідей конференцій з теми "Exploration models"
Eder, Johannes, Andreas Bahya, Sebastian Voss, Alexandru Ipatiov, and Maged Khalil. "From Deployment to Platform Exploration." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3239372.3239385.
Повний текст джерелаGogolla, Martin, Robert Clariso, Bran Selic, and Jordi Cabot. "Towards Facilitating the Exploration of Informal Concepts in Formal Modeling Tools." In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00044.
Повний текст джерелаlacolina, Samuel A., Alessandro Soro, and Riccardo Scateni. "Natural exploration of 3D models." In the 9th ACM SIGCHI Italian Chapter International Conference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2037296.2037326.
Повний текст джерелаRoss, Jordan A., Alexandr Murashkin, Jia Hui Liang, Michal Antkiewicz, and Krzysztof Czarnecki. "Synthesis and Exploration of Multi-level, Multi-perspective Architectures of Automotive Embedded Systems (SoSYM Abstract)." In 2017 ACM/IEEE 20th International Conference on Model-Driven Engineering Languages and Systems (MODELS). IEEE, 2017. http://dx.doi.org/10.1109/models.2017.38.
Повний текст джерелаEder, Johannes. "Exploration of hardware topologies based on functions, variability and timing." In MODELS '18: ACM/IEEE 21th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3270112.3275333.
Повний текст джерелаMa'ayan, Dor, Shahar Maoz, and Roey Rozi. "Validating the correctness of reactive systems specifications through systematic exploration." In MODELS '22: ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3550355.3552425.
Повний текст джерелаSchnober, Carsten, and Iryna Gurevych. "Combining Topic Models for Corpus Exploration." In CIKM'15: 24th ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2809936.2809939.
Повний текст джерелаde Souza e Silva, Edmundo, and Pedro Mejiá Ochoa. "State space exploration in Markov models." In the 1992 ACM SIGMETRICS joint international conference. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/133057.133100.
Повний текст джерелаAhn, Jae-wook, Peter Brusilovsky, Daqing He, Jonathan Grady, and Qi Li. "Personalized web exploration with task models." In Proceeding of the 17th international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1367497.1367499.
Повний текст джерелаPilarski, Sebastian, Martin Staniszewski, Frederic Villeneuve, and Daniel Varro. "On Artificial Intelligence for Simulation and Design Space Exploration in Gas Turbine Design." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00029.
Повний текст джерелаЗвіти організацій з теми "Exploration models"
Hewett, J. Monte Carlo Exploration of Warped Higgsless Models. Office of Scientific and Technical Information (OSTI), July 2004. http://dx.doi.org/10.2172/827313.
Повний текст джерелаPeter, J. M., M. G. Gadd, D. Layton-Matthews, W. D. Goodfellow, S. E. Jackson, B. E. Taylor, and N. Johnson. Development of genetic and exploration models for hyper-enriched black shale (HEBS) deposits. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/299622.
Повний текст джерелаHuang, Cheng, William E. Anderson, Charles L. Merkle, and Venkateswaran Sankaran. Exploration of POD-Galerkin Techniques for Developing Reduced Order Models of Reaction-Advection Equations. Fort Belvoir, VA: Defense Technical Information Center, April 2014. http://dx.doi.org/10.21236/ada611205.
Повний текст джерелаCaballero, Juan, Stephen McCamant, Adam Barth, and Dawn Song. Extracting Models of Security-Sensitive Operations using String-Enhanced White-Box Exploration on Binaries. Fort Belvoir, VA: Defense Technical Information Center, March 2009. http://dx.doi.org/10.21236/ada538848.
Повний текст джерелаVollet, Justin. Capturing Peers', Teachers', and Parents' Joint Contributions to Students' Engagement: An Exploration of Models. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5658.
Повний текст джерелаSchmid, K., and K. Olschewski. Practical aspects and experience resulting from borehole models for gamma ray logging in uranium exploration. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/123601.
Повний текст джерелаSlack, J. F. Models for tourmalinite formation in the Middle Proterozoic Belt and Purcell supergroups (Rocky Mountains) and their exploration significance. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1993. http://dx.doi.org/10.4095/184093.
Повний текст джерелаGlass, R. J., M. J. Nicholl, and V. C. Tidwell. Challenging and improving conceptual models for isothermal flow in unsaturated, fractured rock through exploration of small-scale processes. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/266709.
Повний текст джерелаStevenson, M., J. Coty, J. Stewart, T. Carlsen, and M. Callaham. Developing Terrestrial Trophic Models for Petroleum and Natural Gas Exploration and Production Sites: The Oklahoma Tallgrass Prairie Preserve Example. Office of Scientific and Technical Information (OSTI), January 2001. http://dx.doi.org/10.2172/15013280.
Повний текст джерелаHinze, W. J., L. W. Braile, R. R. B. von Frese, E. G. Lidiak, R. E. Denison, G. R. Keller, R. F. Roy, C. A. Swanberg, C. L. V. Aiken, and P. Morgan. Exploration for hot dry rock geothermal resources in the Midcontinent USA. Hot dry rock conceptual models for exploration, HDR test site investigations, and the Illinois Deep Drill Hole Project. Volume 2. Office of Scientific and Technical Information (OSTI), February 1986. http://dx.doi.org/10.2172/5694937.
Повний текст джерела