Добірка наукової літератури з теми "Best Subset Selection"
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Статті в журналах з теми "Best Subset Selection"
Groz, Benoît, and Silviu Maniu. "Hypervolume Subset Selection with Small Subsets." Evolutionary Computation 27, no. 4 (December 2019): 611–37. http://dx.doi.org/10.1162/evco_a_00235.
Повний текст джерелаTamura, Ryuta, Ken Kobayashi, Yuichi Takano, Ryuhei Miyashiro, Kazuhide Nakata, and Tomomi Matsui. "BEST SUBSET SELECTION FOR ELIMINATING MULTICOLLINEARITY." Journal of the Operations Research Society of Japan 60, no. 3 (2017): 321–36. http://dx.doi.org/10.15807/jorsj.60.321.
Повний текст джерелаAlrefaei, Mahmoud H., and Mohammad Almomani. "Subset selection of best simulated systems." Journal of the Franklin Institute 344, no. 5 (August 2007): 495–506. http://dx.doi.org/10.1016/j.jfranklin.2006.02.020.
Повний текст джерелаBofinger, Evc, and Kerrie Mangersen. "Subset selection of the t best populations." Communications in Statistics - Theory and Methods 15, no. 10 (January 1986): 3145–61. http://dx.doi.org/10.1080/03610928608829299.
Повний текст джерелаTakano, Yuichi, and Ryuhei Miyashiro. "Best subset selection via cross-validation criterion." TOP 28, no. 2 (February 14, 2020): 475–88. http://dx.doi.org/10.1007/s11750-020-00538-1.
Повний текст джерелаGupta, Shanti S., and Hwa-Ming Yang. "subset selection procedures for the best population." Journal of Statistical Planning and Inference 12 (January 1985): 213–33. http://dx.doi.org/10.1016/0378-3758(85)90071-0.
Повний текст джерелаLaan, Paul Van Der, and Paul van der Laan. "Subset Selection of an Almost Best Treatment." Biometrical Journal 34, no. 6 (1992): 647–56. http://dx.doi.org/10.1002/bimj.4710340602.
Повний текст джерелаZhang, Zhongheng. "Variable selection with stepwise and best subset approaches." Annals of Translational Medicine 4, no. 7 (April 2016): 136. http://dx.doi.org/10.21037/atm.2016.03.35.
Повний текст джерелаZhu, Junxian, Canhong Wen, Jin Zhu, Heping Zhang, and Xueqin Wang. "A polynomial algorithm for best-subset selection problem." Proceedings of the National Academy of Sciences 117, no. 52 (December 16, 2020): 33117–23. http://dx.doi.org/10.1073/pnas.2014241117.
Повний текст джерелаBertsimas, Dimitris, Angela King, and Rahul Mazumder. "Best subset selection via a modern optimization lens." Annals of Statistics 44, no. 2 (April 2016): 813–52. http://dx.doi.org/10.1214/15-aos1388.
Повний текст джерелаДисертації з теми "Best Subset Selection"
Zhang, Tao. "Discrepancy-based algorithms for best-subset model selection." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4800.
Повний текст джерелаCarter, Knute Derek. "Best-subset model selection based on multitudinal assessments of likelihood improvements." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/5726.
Повний текст джерелаHaeggström, Andreas, and Jennie Sund. "Prognosmodell för svenska läns bruttoregionalprodukt (BRP) : En komparativ analys av bayesian model averaging, best subset selection och en longitudinell modell." Thesis, Umeå universitet, Statistik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-105339.
Повний текст джерелаLiu, Feng-Chi, and 劉峰旗. "Best Subset Selection of AR-GARCH Models." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/45538737888749003214.
Повний текст джерелаMcLean, Kevin. "Obtaining the Best Model Predictions and Parameter Estimates Using Limited Data." Thesis, 2011. http://hdl.handle.net/1974/6757.
Повний текст джерелаThesis (Master, Chemical Engineering) -- Queen's University, 2011-09-27 10:52:31.588
Chung, Yu-Wei, and 莊昱偉. "Monte Carlo Sampling of Sequential Likelihood Procedure for Selecting a Subset of Size s which are contained in the Best t (t>=s) populations." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/09111651118401105662.
Повний текст джерела淡江大學
數學系
83
In many of the experimental situations, one is faced with the problems, e.g. drug efficiency, crop yields, etc, of selecting the better ones from a given collection. Bechhofer (1954) developed a procedure based on predetermined number of observations from normal population's with unknown mean and known variance. Mahamunulu(1967) considered a fixed-sample procedure of selecting a subset of size s which contains at least c of the t best populations.(max(1,s+t+1-k)=
Книги з теми "Best Subset Selection"
Hurtado de Mendoza, Diego, 1503-1575, Kelly, Jerry, 1955- book designer, Morillon Antoine d. 1522-1556, and Association internationale de bibliophilie, eds. Index of best authors: By subject classification compiled in 1547 by Antoine Morillon : for Antoine Perrenot de Granvelle including a selection of Greek manuscripts in the library of Diego Hurtado de Mendoza : (Besançon, Bibliothèque Municipale, MS Granvelle 90, ff. 11- 18v). [Place of publication not identified]: Prepared for the visit to Besançon by the Association internationale de bibliophilie, 2014.
Знайти повний текст джерелаHankin, David, Michael S. Mohr, and Kenneth B. Newman. Sampling Theory. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198815792.001.0001.
Повний текст джерелаChow, Jade, John Patterson, Kathy Boursicot, and David Sales, eds. Oxford Assess and Progress: Medical Sciences. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199605071.001.0001.
Повний текст джерелаMinelli, Alessandro. Evolvability and Its Evolvability. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199377176.003.0007.
Повний текст джерелаRutherford, Donald, ed. Oxford Studies in Early Modern Philosophy, Volume X. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192897442.001.0001.
Повний текст джерелаManson, S. S., and G. R. Halford. Fatigue and Durability of Structural Materials. ASM International, 2006. http://dx.doi.org/10.31399/asm.tb.fdsm.9781627083447.
Повний текст джерелаRutherford, Donald, ed. Oxford Studies in Early Modern Philosophy, Volume IX. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198852452.001.0001.
Повний текст джерелаLetters and pape[rs] on agriculture: Extracted from the correspondence of a society instituted at Halifax, for promoting agriculture in the province of Nova-Scotia ; to which is added a selection of papers on various branches of husbandry, from some of the best publications on the subject in Europe and America. Halifax: Printed by J. Howe, 1990.
Знайти повний текст джерелаЧастини книг з теми "Best Subset Selection"
Tuv, Eugene, Alexander Borisov, and Kari Torkkola. "Best Subset Feature Selection for Massive Mixed-Type Problems." In Intelligent Data Engineering and Automated Learning – IDEAL 2006, 1048–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11875581_125.
Повний текст джерелаGonzalez, P. L., R. Cléroux, and B. Rioux. "Selecting the Best Subset of Variables in Principal Component Analysis." In Compstat, 115–20. Heidelberg: Physica-Verlag HD, 1990. http://dx.doi.org/10.1007/978-3-642-50096-1_18.
Повний текст джерелаChakraborty, Basabi. "Particle Swarm Optimization Algorithm and its Hybrid Variants for Feature Subset Selection." In Handbook of Research on Computational Intelligence for Engineering, Science, and Business, 449–66. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2518-1.ch017.
Повний текст джерелаNechval, Nicholas A., Konstantin N. Nechval, Maris Purgailis, and Uldis Rozevskis. "Selection of the Best Subset of Variables in Regression and Time Series Models." In Cybernetics and Systems Theory in Management, 303–20. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-668-1.ch016.
Повний текст джерелаTiwari, Arvind Kumar. "Feature Selection Algorithms for Classification and Clustering." In Cognitive Analytics, 422–42. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2460-2.ch022.
Повний текст джерелаTiwari, Arvind Kumar. "Feature Selection Algorithms for Classification and Clustering." In Ubiquitous Machine Learning and Its Applications, 143–67. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2545-5.ch007.
Повний текст джерелаDhamodharavadhani S. and Rathipriya R. "Variable Selection Method for Regression Models Using Computational Intelligence Techniques." In Handbook of Research on Machine and Deep Learning Applications for Cyber Security, 416–36. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9611-0.ch019.
Повний текст джерелаDhamodharavadhani S. and Rathipriya R. "Variable Selection Method for Regression Models Using Computational Intelligence Techniques." In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, 742–61. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch037.
Повний текст джерелаBidi, Noria, and Zakaria Elberrichi. "Best Features Selection for Biomedical Data Classification Using Seven Spot Ladybird Optimization Algorithm." In Cognitive Analytics, 407–21. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2460-2.ch021.
Повний текст джерелаAlaoui, Abdiya, and Zakaria Elberrichi. "Enhanced Ant Colony Algorithm for Best Features Selection for a Decision Tree Classification of Medical Data." In Advances in Library and Information Science, 278–93. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1021-6.ch015.
Повний текст джерелаТези доповідей конференцій з теми "Best Subset Selection"
Wang, Yu, Louis Luangkesorn, and Larry J. Shuman. "Best-subset selection procedure." In 2011 Winter Simulation Conference - (WSC 2011). IEEE, 2011. http://dx.doi.org/10.1109/wsc.2011.6148118.
Повний текст джерелаGieseke, Fabian, Kai Lars Polsterer, Ashish Mahabal, Christian Igel, and Tom Heskes. "Massively-parallel best subset selection for ordinary least-squares regression." In 2017 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2017. http://dx.doi.org/10.1109/ssci.2017.8285225.
Повний текст джерелаZhang, Ping, Ju Jiang, Xueshan Han, and Zhuoxun Lin. "M-best subset selection from n alternatives based on genetic algorithm." In 2011 24th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 2011. http://dx.doi.org/10.1109/ccece.2011.6030526.
Повний текст джерелаJoshi, Alok A., Peter H. Meckl, Galen B. King, and Kristofer Jennings. "Information-Theoretic Sensor Subset Selection: Application to Signal-Based Fault Isolation in Diesel Engines." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15903.
Повний текст джерелаQian, Chao, Yang Yu, and Ke Tang. "Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/205.
Повний текст джерелаBigler, Tamara, and Oliver Strub. "A Local-branching Heuristic for the Best Subset Selection Problem in Linear Regression." In 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2018. http://dx.doi.org/10.1109/ieem.2018.8607366.
Повний текст джерелаBian, Chao, Chao Qian, Frank Neumann, and Yang Yu. "Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/302.
Повний текст джерелаCross, Valerie, and Michael Zmuda. "Ensemble Creation using Fuzzy Similarity Measures and Feature Subset Evaluators." In 2nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111407.
Повний текст джерелаGu, Lei. "A Comparison of Polynomial Based Regression Models in Vehicle Safety Analysis." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dac-21063.
Повний текст джерелаDereziński, Michał, Rajiv Khanna, and Michael W. Mahoney. "Improved Guarantees and a Multiple-descent Curve for Column Subset Selection and the Nystrom Method (Extended Abstract)." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/647.
Повний текст джерелаЗвіти організацій з теми "Best Subset Selection"
Seginer, Ido, James Jones, Per-Olof Gutman, and Eduardo Vallejos. Optimal Environmental Control for Indeterminate Greenhouse Crops. United States Department of Agriculture, August 1997. http://dx.doi.org/10.32747/1997.7613034.bard.
Повний текст джерела