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Auswahl der wissenschaftlichen Literatur zum Thema „Variability Models“
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Zeitschriftenartikel zum Thema "Variability Models"
Temple, Paul, Mathieu Acher, Jean-Marc Jezequel und Olivier Barais. „Learning Contextual-Variability Models“. IEEE Software 34, Nr. 6 (November 2017): 64–70. http://dx.doi.org/10.1109/ms.2017.4121211.
Der volle Inhalt der QuelleLamprecht, Anna-Lena, Stefan Naujokat und Ina Schaefer. „Variability Management beyond Feature Models“. Computer 46, Nr. 11 (November 2013): 48–54. http://dx.doi.org/10.1109/mc.2013.299.
Der volle Inhalt der QuelleBeuche, Danilo, Holger Papajewski und Wolfgang Schröder-Preikschat. „Variability management with feature models“. Science of Computer Programming 53, Nr. 3 (Dezember 2004): 333–52. http://dx.doi.org/10.1016/j.scico.2003.04.005.
Der volle Inhalt der QuelleRees, Martin J. „Models for Variability in AGNs“. Symposium - International Astronomical Union 159 (1994): 239–48. http://dx.doi.org/10.1017/s0074180900175096.
Der volle Inhalt der QuelleSchipper, M., und C. Wilkinson. „INCORPORATING PRODUCT VARIABILITY INTO QUALITY MODELS“. Acta Horticulturae, Nr. 476 (November 1998): 49–58. http://dx.doi.org/10.17660/actahortic.1998.476.5.
Der volle Inhalt der QuelleMastichiadis, Apostolos, und John G. Kirk. „Models of Variability in Blazar Jets“. Publications of the Astronomical Society of Australia 19, Nr. 1 (2002): 138–42. http://dx.doi.org/10.1071/as01108.
Der volle Inhalt der QuelleMerck, Derek, Gregg Tracton, Rohit Saboo, Joshua Levy, Edward Chaney, Stephen Pizer und Sarang Joshi. „Training models of anatomic shape variability“. Medical Physics 35, Nr. 8 (15.07.2008): 3584–96. http://dx.doi.org/10.1118/1.2940188.
Der volle Inhalt der QuelleHayden, Brian. „Resource Models of Inter-Assemblage Variability“. Lithic Technology 15, Nr. 3 (Dezember 1986): 82–89. http://dx.doi.org/10.1080/01977261.1986.11754486.
Der volle Inhalt der QuelleAslin, Richard N. „MODELS OF OCULOMOTOR VARIABILITY IN INFANCY“. Monographs of the Society for Research in Child Development 62, Nr. 2 (April 1997): 146–49. http://dx.doi.org/10.1111/j.1540-5834.1997.tb00521.x.
Der volle Inhalt der Quellevan Groenendaal, Willem J. H. „Estimating NPV variability for deterministic models“. European Journal of Operational Research 107, Nr. 1 (Mai 1998): 202–13. http://dx.doi.org/10.1016/s0377-2217(97)00138-0.
Der volle Inhalt der QuelleDissertationen zum Thema "Variability Models"
Ternité, Thomas [Verfasser]. „Variability of Development Models / Thomas Ternité“. München : Verlag Dr. Hut, 2010. http://d-nb.info/1009972332/34.
Der volle Inhalt der QuelleScutari, Marco. „Measures of Variability for Graphical Models“. Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3422736.
Der volle Inhalt der QuelleNegli ultimi anni i modelli grafici, ed in particolare i network Bayesiani, sono entrati nella pratica corrente delle analisi statistiche in diversi settori scientifici, tra cui medi cina e biostatistica. L’uso di questo tipo di modelli è stato reso possibile dalla rapida evoluzione degli algoritmi per apprenderne la struttura, sia quelli basati su test statistici che quelli basati su funzioni punteggio. L’obiettivo principale di questi nuovi algoritmi è la riduzione del numero di modelli intermedi considerati nell’apprendimento; le loro caratteristiche sono state usualmente valutate usando dei dati di riferimento (per i quali la vera struttura del modello è nota da letteratura) e la distanza di Hamming. Questo approccio tuttavia non può essere usato per dati sperimentali, poiché la loro struttura probabilistica non è nota a priori. In questo caso una valida alternativa è costituita dal bootstrap non parametrico: apprendendo un numero sufficientemente grande di modelli da campioni bootstrap è infatti possibile ottenere una stima empirica della probabilità di ogni caratteristica di interesse del network stesso. In questa tesi viene affrontato il principale limite di questo secondo approccio: la difficoltà di stabilire una soglia di significatività per le probabilità empiriche. Una possibile soluzione è data dall’assunzione di una distribuzione Trinomiale multivariata (nel caso di grafi orientati aciclici) o Bernoulliana multivariata (nel caso di grafi non orientati), che permette di associare ogni arco del network ad una distribuzione mar ginale. Questa assunzione permette di costruire dei test statistici, sia asintotici che esatti, per la variabilità multivariata della struttura del network nel suo complesso o di una sua parte. Tali misure di variabilità sono state poi applicate ad alcuni algoritmi di apprendimento della struttura di network Bayesiani utilizzando il pacchetto R bnlearn, implementato e mantenuto dall’autore.
Arzounian, Dorothée. „Sensory variability and brain state : models, psychophysics, electrophysiology“. Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCB055/document.
Der volle Inhalt der QuelleThe same sensory input does not always trigger the same reaction. In laboratory experiments, a given stimulus may elicit a different response on each trial, particularly near the sensory threshold. This is usually attributed to an unspecific source of noise that affects the sensory representation of the stimulus or the decision process. In this thesis we explore the hypothesis that response variability can in part be attributed to measurable, spontaneous fluctuations of ongoing brain state. For this purpose, we develop and test two sets of tools. One is a set of models and psychophysical methods to follow variations of perceptual performance with good temporal resolution and accuracy on different time scales. These methods rely on the adaptive procedures that were developed for the efficient measurements of static sensory thresholds and are extended here for the purpose of tracking time-varying thresholds. The second set of tools we develop encompass data analysis methods to extract from electroencephalography (EEG) signals a quantity that is predictive of behavioral performance on various time scales. We applied these tools to joint recordings of EEG and behavioral data acquired while normal listeners performed a frequency-discrimination task on near-threshold auditory stimuli. Unlike what was reported in the literature for visual stimuli, we did not find evidence for any effects of ongoing low-frequency EEG oscillations on auditory performance. However, we found that a substantial part of judgment variability can be accounted for by effects of recent stimulus-response history on an ongoing decision
Byrne, Nicholas. „Deterministic models of Southern Hemisphere circulation variability“. Thesis, University of Reading, 2017. http://centaur.reading.ac.uk/74253/.
Der volle Inhalt der QuelleStrounine, Kirill. „Reduced models of extratropical low-frequency variability“. Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1320974401&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Der volle Inhalt der QuelleSchenzinger, Verena. „Tropical stratosphere variability and extratropical teleconnections“. Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:7f03dad9-8ef6-4586-8caa-314d9c3a15da.
Der volle Inhalt der QuelleWengel, Christian [Verfasser]. „Equatorial Pacific Variability in Climate Models / Christian Wengel“. Kiel : Universitätsbibliothek Kiel, 2018. http://d-nb.info/1160235406/34.
Der volle Inhalt der QuelleBurrow, Jennifer. „Mechanistic models of recruitment variability in fish populations“. Thesis, University of York, 2011. http://etheses.whiterose.ac.uk/1611/.
Der volle Inhalt der QuelleMANFREDI, PAOLO. „High-Speed Interconnect Models with Stochastic Parameter Variability“. Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2513763.
Der volle Inhalt der QuelleDenis, Yvan. „Implémentation de PCM (Process Compact Models) pour l’étude et l’amélioration de la variabilité des technologies CMOS FDSOI avancées“. Thesis, Université Grenoble Alpes (ComUE), 2016. http://www.theses.fr/2016GREAT045/document.
Der volle Inhalt der QuelleRecently, the race for miniaturization has seen its growth slow because of technological challenges it entails. These barriers include the increasing impact of the local variability and processes from the increasing complexity of the manufacturing process and miniaturization, in addition to the difficult of reducing the channel length. To address these challenges, new architectures, very different from the traditional one (bulk), have been proposed. However these new architectures require more effort to be industrialized. Increasing complexity and development time require larger financial investments. In fact there is a real need to improve the development and optimization of devices. This work gives some tips in order to achieve these goals. The idea to address the problem is to reduce the number of trials required to find the optimal manufacturing process. The optimal process is one that results in a device whose performance and dispersion reach the predefined aims. The idea developed in this thesis is to combine TCAD tool and compact models in order to build and calibrate what is called PCM (Process Compact Model). PCM is an analytical model that establishes linkages between process and electrical parameters of the MOSFET. It takes both the benefits of TCAD (since it connects directly to the process parameters electrical parameters) and compact (since the model is analytic and therefore faster to calculate). A sufficiently robust predictive and PCM can be used to optimize performance and overall variability of the transistor through an appropriate optimization algorithm. This approach is different from traditional development methods that rely heavily on scientific expertise and successive tests in order to improve the system. Indeed this approach provides a deterministic and robust mathematical framework to the problem. The concept was developed, tested and applied to transistors 28 and 14 nm FD-SOI and to TCAD simulations. The results are presented and recommendations to implement it at industrial scale are provided. Some perspectives and applications are likewise suggested
Bücher zum Thema "Variability Models"
Mueller, Uli. Testing models of low-frequency variability. Cambridge, Mass: National Bureau of Economic Research, 2006.
Den vollen Inhalt der Quelle findenD, Schertzer, Hrsg. Nonlinear variability in geophysics 3. Singapore: World Scientific, 1996.
Den vollen Inhalt der Quelle findenJack, King, Milligan Michael, Utility Wind Integration Group. Fall Technical Workshop und National Renewable Energy Laboratory (U.S.), Hrsg. Allocating variability and reserve requirements. Golden, Colo.]: National Renewable Energy Laboratory, 2011.
Den vollen Inhalt der Quelle findenLowry, Michelle. The variability of IPO initial returns. Cambridge, Mass: National Bureau of Economic Research, 2006.
Den vollen Inhalt der Quelle findenLowry, Michelle. The variability of ipo initial returns. Cambridge, MA: National Bureau of Economic Research, 2006.
Den vollen Inhalt der Quelle findenHodrick, Robert J. The variability of velocity in cash-in-advance models. Cambridge, MA: National Bureau of Economic Research, 1989.
Den vollen Inhalt der Quelle findenA, Hicks M., und Institution of Civil Engineers (Great Britain), Hrsg. Risk and variability in geotechnical engineering. London: Thomas Telford, 2007.
Den vollen Inhalt der Quelle findenSvensson, Lars E. O. Target zones and interest rate variability. Cambridge, MA: National Bureau of Economic Research, 1989.
Den vollen Inhalt der Quelle findenUnited States. National Oceanic and Atmospheric Administration, University Corporation for Atmospheric Research, Atlantic Climate Change Program (U.S.) und Meeting on Atlantic Climate Variability (1997 : Lamont-Doherty Earth Observatory of Columbia University), Hrsg. Proceedings from a Meeting on Atlantic Climate Variability: Meeting on Atlantic Climate Variability. Boulder, Colo.]: [University Corp. for Atmospheric Research], 1997.
Den vollen Inhalt der Quelle findenPersson, Torsten. Exchange rate variability and asset trade. Cambridge, MA: National Bureau of Economic Research, 1989.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Variability Models"
Haugen, Øystein. „VARY – Variability for You“. In Models in Software Engineering, 48–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29645-1_7.
Der volle Inhalt der QuelleFrankignoul, Claude. „Climate Spectra and Stochastic Climate Models“. In Analysis of Climate Variability, 29–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03744-7_3.
Der volle Inhalt der QuelleSarkisyan, Artem S., und Jürgen E. Sündermann. „Synthesis of Models and Observed Data“. In Modelling Ocean Climate Variability, 103–51. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9208-4_4.
Der volle Inhalt der QuelleFrankignoul, Claude. „Climate Spectra and Stochastic Climate Models“. In Analysis of Climate Variability, 29–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-03167-4_3.
Der volle Inhalt der QuelleKelly, Dana, und Curtis Smith. „Hierarchical Bayes Models for Variability“. In Springer Series in Reliability Engineering, 67–88. London: Springer London, 2011. http://dx.doi.org/10.1007/978-1-84996-187-5_7.
Der volle Inhalt der QuelleRees, Martin J. „Models for Variability in AGNs“. In Multi-Wavelength Continuum Emission of AGN, 239–48. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-010-9537-2_34.
Der volle Inhalt der QuelleAvrett, Eugene H. „Modeling Solar Variability—Synthetic Models“. In Solar Electromagnetic Radiation Study for Solar Cycle 22, 449–69. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5000-2_40.
Der volle Inhalt der QuelleDauenhauer, Gerd, Thomas Aschauer und Wolfgang Pree. „Variability in Automation System Models“. In Formal Foundations of Reuse and Domain Engineering, 116–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04211-9_12.
Der volle Inhalt der QuelleFarhat, Salman, Simon Bliudze, Laurence Duchien und Olga Kouchnarenko. „Composing Run-Time Variability Models“. In Lecture Notes in Computer Science, 234–52. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-77382-2_14.
Der volle Inhalt der QuelleJensen, O. G., J. P. Todoeschuck, D. J. Crossley und M. Gregotski. „Fractal Linear Models of Geophysical Processes“. In Non-Linear Variability in Geophysics, 227–39. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-009-2147-4_16.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Variability Models"
Strüber, Daniel, Anthony Anjorin und Thorsten Berger. „Variability representations in class models“. In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3365438.3410935.
Der volle Inhalt der QuelleLaguna, Miguel A., und Bruno Gonzalez-Baixauli. „Requirements variability models“. In the 2005 symposia. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1234324.1234333.
Der volle Inhalt der QuelleMærsk-Møller, Hans Martin, und Bo Nørregaard Jørgensen. „Cardinality-dependent variability in orthogonal variability models“. In the Sixth International Workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2110147.2110166.
Der volle Inhalt der QuelleEpp, Jordan, Thomas Robert, Olivier Ruch und Alison Olechowski. „Towards SysML v2 as a Variability Modeling Language“. In 2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2023. http://dx.doi.org/10.1109/models-c59198.2023.00054.
Der volle Inhalt der QuelleFilho, João Bosco Ferreira, Olivier Barais, Jérôme Le Noir und Jean-Marc Jézéquel. „Customizing the common variability language semantics for your domain models“. In the VARiability for You Workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2425415.2425417.
Der volle Inhalt der QuelleFeichtinger, Kevin, und Rick Rabiser. „Towards Transforming Variability Models“. In SPLC '20: 24th ACM International Systems and Software Product Line Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3382026.3425768.
Der volle Inhalt der QuelleCombemale, Benoit, Olivier Barais, Omar Alam und Jörg Kienzle. „Using CVL to operationalize product line development with reusable aspect models“. In the VARiability for You Workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2425415.2425418.
Der volle Inhalt der QuelleEyal-Salman, Hamzeh, Abdelhak-Djamel Seriai, Christophe Dony und Ra'fat Al-msie'deen. „Recovering traceability links between feature models and source code of product variants“. In the VARiability for You Workshop. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2425415.2425420.
Der volle Inhalt der QuelleBeuche, Danilo. „Managing variability with feature models“. In SPLC '15: 2015 International Conference on Software Product Lines. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2791060.2791113.
Der volle Inhalt der QuelleBeuche, Danilo, und Michael Schulze. „Managing variability with feature models“. In SPLC '14: 18th International Software Product Line Conference. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2648511.2648561.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Variability Models"
Mueller, Ulrich, und Mark Watson. Testing Models of Low-Frequency Variability. Cambridge, MA: National Bureau of Economic Research, November 2006. http://dx.doi.org/10.3386/w12671.
Der volle Inhalt der QuelleSperber, K., und H. Annamalai. Asian Summer Monsoon Intraseasonal Variability in General Circulation Models. Office of Scientific and Technical Information (OSTI), Februar 2004. http://dx.doi.org/10.2172/15009797.
Der volle Inhalt der QuelleHodrick, Robert, Narayana Kocherlakota und Deborah Lucas. The Variability of Velocity in Cash-In-Advance Models. Cambridge, MA: National Bureau of Economic Research, März 1989. http://dx.doi.org/10.3386/w2891.
Der volle Inhalt der QuelleFedorov, Alexey. AMOC decadal variability in Earth system models: Mechanisms and climate impacts. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1378474.
Der volle Inhalt der QuelleGhil, M., S. Kravtsov, A. W. Robertson und P. Smyth. Studies of regional-scale climate variability and change. Hidden Markov models and coupled ocean-atmosphere modes. Office of Scientific and Technical Information (OSTI), Oktober 2008. http://dx.doi.org/10.2172/940218.
Der volle Inhalt der QuelleSperber, K. R. Simulation of the Intraseasonal Variability Over the Eastern Pacific ITCZ in Climate Models. Office of Scientific and Technical Information (OSTI), Juni 2011. http://dx.doi.org/10.2172/1122207.
Der volle Inhalt der QuelleEk, M., L. Mahrt, S. Chang, G. Levy und A. A. Holtslag. Formulation of Subgrid Variability and Boundary-Layer Cloud Cover in Large-Scale Models. Fort Belvoir, VA: Defense Technical Information Center, Februar 1999. http://dx.doi.org/10.21236/ada360481.
Der volle Inhalt der QuelleJones, Philip D. Climate data, analysis and models for the study of natural variability and anthropogenic change. Office of Scientific and Technical Information (OSTI), Juli 2014. http://dx.doi.org/10.2172/1148878.
Der volle Inhalt der QuelleBrzezinska, Ida, und Paul Jasper. Temperature variability as a driver of poverty in low- and middle-income countries. Data and Evidence to End Extreme Poverty, Oktober 2023. http://dx.doi.org/10.55158/deepwp16.
Der volle Inhalt der QuelleEngel, Charles, und Kenneth West. Accounting for Exchange Rate Variability in Present-Value Models When the Discount Factor is Near One. Cambridge, MA: National Bureau of Economic Research, Februar 2004. http://dx.doi.org/10.3386/w10267.
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