Literatura académica sobre el tema "Two stage selection"
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Artículos de revistas sobre el tema "Two stage selection"
Yevseyeva, Iryna, Vitor Basto Fernandes, Aad van Moorsel, Helge Janicke y Michael Emmerich. "Two-stage Security Controls Selection". Procedia Computer Science 100 (2016): 971–78. http://dx.doi.org/10.1016/j.procs.2016.09.261.
Texto completoXu, Ke, Crystal Maung, Hiromasa Arai y Haim Schweitzer. "Two-Stage Feature Selection with Unsupervised Second Stage". International Journal on Artificial Intelligence Tools 27, n.º 07 (noviembre de 2018): 1860014. http://dx.doi.org/10.1142/s021821301860014x.
Texto completoHATTORI, Tetsuya y Hironari MIYAZAWA. "ACCURACY OF TWO-STAGE SELECTION METHOD". Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 19, n.º 2 (1992): 14–23. http://dx.doi.org/10.2333/jbhmk.19.2_14.
Texto completoLam, K. "An improved two-stage selection procedure". Communications in Statistics - Simulation and Computation 17, n.º 3 (enero de 1988): 995–1006. http://dx.doi.org/10.1080/03610918808812708.
Texto completoSudbury, Aidan. "Two-stage testing using selection schemes". Statistics in Medicine 29, n.º 21 (26 de agosto de 2010): 2194–99. http://dx.doi.org/10.1002/sim.3965.
Texto completoTaboga, Marco. "Portfolio selection with two-stage preferences". Finance Research Letters 2, n.º 3 (septiembre de 2005): 152–64. http://dx.doi.org/10.1016/j.frl.2005.06.003.
Texto completoBécu, Jean-Michel, Yves Grandvalet, Christophe Ambroise y Cyril Dalmasso. "Beyond support in two-stage variable selection". Statistics and Computing 27, n.º 1 (20 de noviembre de 2015): 169–79. http://dx.doi.org/10.1007/s11222-015-9614-1.
Texto completoJack Chen, E. "A revisit of two-stage selection procedures". European Journal of Operational Research 210, n.º 2 (abril de 2011): 281–86. http://dx.doi.org/10.1016/j.ejor.2010.08.033.
Texto completoSimmonds, N. W. "Two-stage selection strategy in plant breeding". Heredity 55, n.º 3 (diciembre de 1985): 393–99. http://dx.doi.org/10.1038/hdy.1985.123.
Texto completoKasperski, Adam y Paweł Zieliński. "Robust recoverable and two-stage selection problems". Discrete Applied Mathematics 233 (diciembre de 2017): 52–64. http://dx.doi.org/10.1016/j.dam.2017.08.014.
Texto completoTesis sobre el tema "Two stage selection"
Yousef, Mohammed A. "Two-Stage SCAD Lasso for Linear Mixed Model Selection". Bowling Green State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1558431514460879.
Texto completoSands, John Stephen y n/a. "Auditor Switching - A Two-Stage Decision Process: An Empirical Study of Australian Companies". Griffith University. Department of Accounting, Finance and Economics, 1996. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20050901.152229.
Texto completoSands, John Stephen. "Auditor Switching - A Two-Stage Decision Process: An Empirical Study of Australian Companies". Thesis, Griffith University, 1996. http://hdl.handle.net/10072/366910.
Texto completoThesis (Masters)
Master of Philosophy (MPhil)
Department of Accounting, Finance and Economics
Griffith Business School
Full Text
Choi, Jin-Young. "Two-stage Semiparametric Estimators for Limited Dependent Variables and its Applications". Thesis, Boston College, 2014. http://hdl.handle.net/2345/bc-ir:103547.
Texto completoThis thesis proposes two semiparametric estimators; one for heavily censored panel models and another one for binary-outcome sample selection models. The first chapter proposes a new panel data estimator, and applies it to investigate whether the key assumption underlying most twin studies is valid. Roughly, the assumption is that differences in twins' outcomes can on average be attributed to differences in observed treatments, possibly after conditioning on observable covariates. The empirical results here cast doubt on this assumption, by showing that a particular outcome, survival, varies by birth order, even after conditioning on health-at-birth characteristics. The proposed panel data estimator is the first one in the literature that simultaneously handles having an unknown error distribution, fixed effects, fixed T, fixed censoring point, and heavy (greater than 50%) censoring. These features are all required to adequately deal with the limitations of available census data on twins. The proposed estimator also allows for coefficients that vary by t, and for a censoring point that is an unknown but deterministic function of regressors. The second chapter proposes a new semiparametric estimator for binary-outcome selection models that does not impose any distributional assumption, nor specify the selection equation. The estimator, however, requires a special regressor satisfying a support restriction in the outcome equation and a variable satisfying the exclusion/inclusion restriction; the former should be continuous whereas the latter can be discrete. The estimators of Klein et al. (2011) and Escanciano et al. (2012) require optimization, but our estimator for the outcome equation has a closed-form expression with no need for any optimization (but the selection equation estimation may still need an optimization). We apply MLE and the proposed estimator to US presidential election data in 2008 and 2012 where Barack Obama won to see to what extent racism mattered; we use a prejudice variable as a measure of racism. Putting our empirical findings in advance, there is evidence that the white Democrats voted less for Obama due to prejudice, whereas the white Republicans acted in a more muted fashion (i.e., almost no change in voting due to racism) or voted more for Obama to escape the stigma of racism. We also found evidence of "own-race favor" by blacks
Thesis (PhD) — Boston College, 2014
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Economics
Teague, Kory Alan. "Approaches to Joint Base Station Selection and Adaptive Slicing in Virtualized Wireless Networks". Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/85966.
Texto completoMaster of Science
5G, the next generation cellular network standard, promises to provide significant improvements over current generation standards. For 5G to be successful, this must be accompanied by similarly significant efficiency improvements. Wireless network virtualization is a promising technology that has been shown to improve the cost efficiency of current generation cellular networks. By abstracting the physical resource—such as cell tower base stations— from the use of the resource, virtual resources are formed. This work investigates the problem of selecting virtual resources (e.g., base stations) to construct virtual wireless networks with minimal cost and slicing the selected resources to individual networks to optimally satisfy individual network demands. This problem is framed in a stochastic optimization framework and two approaches are presented for approximation. The first approach converts the framework into a deterministic equivalent and reduces it to a tractable form. The second approach uses a genetic algorithm to approximate resource selection. Approaches are simulated and evaluated utilizing a demand model constructed to emulate the statistics of an observed real world urban network. Simulations indicate that the first approach can provide a reasonably tight solution with significant time expense, and that the second approach provides a solution in significantly less time with the introduction of marginal error.
Steele, Steven Cory Wyatt. "Optimal Engine Selection and Trajectory Optimization using Genetic Algorithms for Conceptual Design Optimization of Resuable Launch Vehicles". Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/51771.
Texto completoMaster of Science
Carreras, Máximo [Verfasser], Werner [Akademischer Betreuer] Brannath, Frank [Akademischer Betreuer] Bretz y Georg [Akademischer Betreuer] Gutjahr. "Two-Stage Adaptive Designs With Interim Treatment Selection / Máximo Ariel Carreras. Gutachter: Frank Bretz ; Georg Gutjahr. Betreuer: Werner Brannath". Bremen : Staats- und Universitätsbibliothek Bremen, 2015. http://d-nb.info/1072746301/34.
Texto completoPan, Xi. "THE LABOR MARKET, POLITICAL CAPITAL, AND OWNERSHIP SECTOR IN URBAN CHINA". UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_diss/788.
Texto completoChoudhary, Pankaj K. "ASSESSMENT OF AGREEMENT AND SELECTION OF THE BEST INSTRUMENT IN METHOD COMPARISON STUDIES". The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1029109764.
Texto completoBarksten, Martin. "Evaluating the effect of cardinality estimates on two state-of-the-art query optimizer's selection of access method". Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189892.
Texto completoDetta examensarbete behandlar relationella databaseer och hur stor påverkan kvaliteten på den uppskattade kardinaliteten har på antalet olika metoder som används för att hämta data från samma relation. Två databaser testades — PostgreSQL och MariaDB — på ett verkligt dataset för att ge realistiska resultat. Utvärderingen gjordes med hjälp av ett verktyg implementerat i Clojure och testerna gjordes på en query, och delvarianter av den, med varierande stora sample sizes för kardinalitetsuppskattningen. Resultaten indikerar att MariaDBs query optimizer inte påverkas av kardinalitetsuppskattningen, för alla testerna valde den samma metod för att hämta datan. Detta skiljer sig mot PostgreSQLs query optimizer som varierade mellan att använda sig av index eller göra en full table scan beroende på den uppskattade kardinaliteten. Slutligen pekade även resultaten på att båda databasernas query optimizers varierade metod för att hämta data beroende på värdet i predikatet som användes i queryn.
Libros sobre el tema "Two stage selection"
Axel, Zimmermann, Müller Hans-Joachim 1947- y Galerie von Braunbehrens (Munich, Germany), eds. Xenia Hausner: Two. München: Galerie von Braunbehrens, 2007.
Buscar texto completoNational Joint Consultative Committee for Building. Code of procedure for two stage selective tendering. London: RIBA Publications for the NJCC, 1996.
Buscar texto completoNational Joint Consultative Committee for Building. Code of procedure for two stage selective tendering. London: RIBA, 1994.
Buscar texto completoCicero, Marcus Tullius. De re publica: Selections. Cambridge [England]: Cambridge University Press, 1995.
Buscar texto completoUnited States. National Aeronautics and Space Administration., ed. Selection process for trade study: Reusable hydrogen composite tank system (RHCTS). [Downey, Calif.]: Rockwell Aerospace, Space Systems Division, 1994.
Buscar texto completoChristensen, John O. State aid to libraries in the 1980's: A selective bibliography. Monticello, Ill: Vance Bibliographies, 1990.
Buscar texto completoPatrick, Olivelle y McClish Mark, eds. The Arthasástra: Selections from the classic Indian work on statecraft. Indianapolis, Ind: Hackett Pub. Co., 2012.
Buscar texto completoPlutarch. Selections from Plutarch's Lives. St. Petersburg, Fla: Red and Black Publishers, 2009.
Buscar texto completoMachiavelli, Niccolò. Machiavelli: The Prince, selections from The Discourses and other writings. London: Fontana/Collins, 1989.
Buscar texto completoSheehan, John. Higher education: The case for selective measures. Dublin: Department of Political Economy, UCD, 1987.
Buscar texto completoCapítulos de libros sobre el tema "Two stage selection"
Zhi, Xiaobin y Shaoru Wu. "Two-Stage Discriminative Feature Selection". En Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery, 321–28. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32591-6_34.
Texto completoKudo, Mineichi y Jack Sklansky. "Classifier-independent feature selection for two-stage feature selection". En Advances in Pattern Recognition, 548–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0033278.
Texto completoÖzgür, Levent y Tunga Güngör. "Two-Stage Feature Selection for Text Classification". En Lecture Notes in Electrical Engineering, 329–37. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22635-4_30.
Texto completoKumar, Vinod, Abhishek Sharma, Anil Bansal y Jagnur Singh Sandhu. "Two-Stage Feature Selection Pipeline for Text Classification". En Computer Networks and Inventive Communication Technologies, 795–809. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3728-5_59.
Texto completoHuang, Rong, Rada Chirkova y Yahya Fathi. "Two-Stage Stochastic View Selection for Data-Analysis Queries". En Advances in Intelligent Systems and Computing, 115–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32741-4_11.
Texto completoGrover, Jeff. "Special Forces Assessment and Selection (SFAS) Two-Stage Example". En Strategic Economic Decision-Making, 103–13. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-6040-4_14.
Texto completoSingh, Lovejit, Sarbjeet Singh y Naveen Aggarwal. "Two-Stage Text Feature Selection Method for Human Emotion Recognition". En Proceedings of 2nd International Conference on Communication, Computing and Networking, 531–38. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1217-5_51.
Texto completoDu, Dajun, Kang Li y Jing Deng. "An Efficient Two-Stage Gene Selection Method for Microarray Data". En Intelligent Computing for Sustainable Energy and Environment, 424–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37105-9_47.
Texto completoGao, Ying-Lian, Jin-Xing Liu, Chun-Hou Zheng, Sheng-Jun Li y Yu-Xia Lei. "A Two-Stage Sparse Selection Method for Extracting Characteristic Genes". En Intelligent Computing Theories and Methodologies, 577–88. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22186-1_58.
Texto completoJia, Yonghui, Chuanyuan Tan, Yuehe Chen, Muhua Zhu, Pingfu Chao y Wenliang Chen. "Two-Stage Query Graph Selection for Knowledge Base Question Answering". En Natural Language Processing and Chinese Computing, 16–28. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-17189-5_2.
Texto completoActas de conferencias sobre el tema "Two stage selection"
Xu, Ke, Hiromasa Arai, Crystal Maung y Haim Schweitzer. "Two-Stage Feature Selection with Unsupervised Second Stage". En 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2017. http://dx.doi.org/10.1109/ictai.2017.00034.
Texto completoRouttenberg, Tirza. "Two-stage estimation after parameter selection". En 2016 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2016. http://dx.doi.org/10.1109/ssp.2016.7551842.
Texto completoChi, Xu, Tan Puay Siew y Erik Cambria. "Adaptive two-stage feature selection for sentiment classification". En 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2017. http://dx.doi.org/10.1109/smc.2017.8122782.
Texto completoLi, Xi, Hang Dai y Mingwen Wang. "Two-Stage Feature Selection Method for Text Classification". En 2009 International Conference on Multimedia Information Networking and Security. IEEE, 2009. http://dx.doi.org/10.1109/mines.2009.127.
Texto completoVelez-Reyes, Miguel, Daphnia M. Linares y Luis O. Jimenez-Rodriguez. "Two-stage band selection algorithm for hyperspectral imagery". En AeroSense 2002, editado por Sylvia S. Shen y Paul E. Lewis. SPIE, 2002. http://dx.doi.org/10.1117/12.478766.
Texto completoFirouzi, Hamed, Bala Rajaratnam y Alfred O. Hero. "Two-stage variable selection for molecular prediction of disease". En 2013 IEEE 5th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, 2013. http://dx.doi.org/10.1109/camsap.2013.6714034.
Texto completoRihab, Mechmech, Harbi Slim, B. Hadj-Alouane Atidel y Sboui Sami. "A two stage approach for off-price retailers selection". En 2020 International Conference on Decision Aid Sciences and Application (DASA). IEEE, 2020. http://dx.doi.org/10.1109/dasa51403.2020.9317033.
Texto completoMeng, Jiana y Hongfei Lin. "A two-stage feature selection method for text categorization". En 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2010. http://dx.doi.org/10.1109/fskd.2010.5569324.
Texto completoBondre, Akshay S. y Christ D. Richmond. "On Threshold Selection for Improved SAR Two-Stage Change Detection". En 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114551.
Texto completoWeihua Yang, Yanan Yang, Xiushan Wang y Fenghai Zhang. "Two-stage decision-making method of PPP project model selection". En 2012 IEEE 3rd International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2012. http://dx.doi.org/10.1109/icsess.2012.6269545.
Texto completoInformes sobre el tema "Two stage selection"
Gupta, Shanti S. y Klaus J. Miescke. Optimum Two-Stage Selection Procedures for Weibull Populations. Fort Belvoir, VA: Defense Technical Information Center, octubre de 1985. http://dx.doi.org/10.21236/ada162824.
Texto completoFunkenstein, Bruria y Cunming Duan. GH-IGF Axis in Sparus aurata: Possible Applications to Genetic Selection. United States Department of Agriculture, noviembre de 2000. http://dx.doi.org/10.32747/2000.7580665.bard.
Texto completoLeaver, Clare, Owen Ozier, Pieter Serneels y Andrew Zeitlin. Recruitment, Effort, and Retention Effects of Performance Contracts for Civil Servants: Experimental Evidence from Rwandan Primary Schools. Research on Improving Systems of Education (RISE), septiembre de 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/048.
Texto completoWeller, Joel I., Ignacy Misztal y Micha Ron. Optimization of methodology for genomic selection of moderate and large dairy cattle populations. United States Department of Agriculture, marzo de 2015. http://dx.doi.org/10.32747/2015.7594404.bard.
Texto completoGradín, Carlos. WIID Companion (March 2021): integrated and standardized series. UNU-WIDER, marzo de 2021. http://dx.doi.org/10.35188/unu-wider/wtn/2021-5.
Texto completoWaisel, Yoav, Bobbie McMichael y Amram Eshel. Decision Making within Plant Root Systems. United States Department of Agriculture, marzo de 1996. http://dx.doi.org/10.32747/1996.7613030.bard.
Texto completoGradín, Carlos. WIID Companion (March 2021): data selection. UNU-WIDER, marzo de 2021. http://dx.doi.org/10.35188/unu-wider/wtn/2021-4.
Texto completoNichols, Todd Travis, Charles Marshall Barnes, Lance Lauerhass y Dean Dalton Taylor. Selection of Steady-State Process Simulation Software to Optimize Treatment of Radioactive and Hazardous Waste. Office of Scientific and Technical Information (OSTI), junio de 2001. http://dx.doi.org/10.2172/911462.
Texto completoNichols, T. T., C. M. Barnes, L. Lauerhass y D. D. Taylor. Selection of Steady-State Process Simulation Software to Optimize Treatment of Radioactive and Hazardous Waste. Office of Scientific and Technical Information (OSTI), junio de 2001. http://dx.doi.org/10.2172/782922.
Texto completoSela, Hanan, Eduard Akhunov y Brian J. Steffenson. Population genomics, linkage disequilibrium and association mapping of stripe rust resistance genes in wild emmer wheat, Triticum turgidum ssp. dicoccoides. United States Department of Agriculture, enero de 2014. http://dx.doi.org/10.32747/2014.7598170.bard.
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