Academic literature on the topic 'Exploration models'
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Journal articles on the topic "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.
Full textWimsatt, 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.
Full textDoganova, 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.
Full textRylskiу, 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.
Full textde 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.
Full textOtto, 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.
Full textRoman, 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.
Full textBeyer, 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.
Full textThompson, 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.
Full textŁucki, 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.
Full textDissertations / Theses on the topic "Exploration models"
Gross, Joshua. "An exploration of stochastic models." Kansas State University, 2014. http://hdl.handle.net/2097/17656.
Full textDepartment 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.
Full textKamphans, Thomas. "Models and algorithms for online exploration and search." [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980408121.
Full textGosch, 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.
Full textDue 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.
Full textMulchahey, Kenneth E. "Exploration of Complexities for Migration of Software-Licensing Models." Thesis, Capella University, 2019. http://pqdtopen.proquest.com/#viewpdf?dispub=13806407.
Full textSome 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.
Full textOptimization 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.
Full textKamphans, Tom [Verfasser]. "Models and Algorithms for Online Exploration and Search / Tom Kamphans." Aachen : Shaker, 2011. http://d-nb.info/1098040260/34.
Full textOst, 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.
Full textNoC-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.
Books on the topic "Exploration models"
G, De Geoffroy J., ed. Statistical models for optimizing mineral exploration. New York: Plenum Press, 1987.
Find full textWignall, 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.
Full textSandstone depositional models for exploration for fossil fuels. 3rd ed. Boston: International Human Resources Development Corp., 1985.
Find full textObstfeld, Maurice. Dynamic seigniorage theory: An exploration. Cambridge, Mass: National Bureau of Economic Research, 1989.
Find full textObstfeld, Maurice. Dynamic seigniorage theory: An exploration. London: Centre for Economic Policy Research, 1991.
Find full textComin, Diego. An exploration of technology diffusion. Cambridge, Mass: National Bureau of Economic Research, 2006.
Find full textComin, Diego. An exploration of technology diffusion. Cambridge, MA: National Bureau of Economic Research, 2006.
Find full textGeoffroy, J. G. De. Designing optimalstrategies for mineral exploration. New York: Plenum, 1985.
Find full textOdada, 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.
Find full textExploration and innovation in design: Towards a computational model. New York: Springer-Verlag, 1991.
Find full textBook chapters on the topic "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.
Full textLaake, 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.
Full textStetter, 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.
Full textHall, 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.
Full textTedesco, 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.
Full textColman, 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.
Full textSolis, 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.
Full textSinvhal, 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.
Full textSinvhal, 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.
Full textKnorreck, 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.
Full textConference papers on the topic "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.
Full textGogolla, 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.
Full textlacolina, 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.
Full textRoss, 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.
Full textEder, 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.
Full textMa'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.
Full textSchnober, 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.
Full textde 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.
Full textAhn, 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.
Full textPilarski, 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.
Full textReports on the topic "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.
Full textPeter, 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.
Full textHuang, 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.
Full textCaballero, 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.
Full textVollet, 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.
Full textSchmid, 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.
Full textSlack, 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.
Full textGlass, 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.
Full textStevenson, 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.
Full textHinze, 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.
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