Добірка наукової літератури з теми "Minimum residual sum of squares"
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Статті в журналах з теми "Minimum residual sum of squares"
Zhou, Zhen, L. N. Zhang, Y. Qin, D. Z. Ma, and B. Niu. "Statistical Inference of LZL-Type Mass Flowmeter Life Distribution Model." Key Engineering Materials 458 (December 2010): 173–78. http://dx.doi.org/10.4028/www.scientific.net/kem.458.173.
Повний текст джерелаDEVITA, HANY, I. KOMANG GDE SUKARSA, and I. PUTU EKA N. KENCANA. "KINERJA JACKKNIFE RIDGE REGRESSION DALAM MENGATASI MULTIKOLINEARITAS." E-Jurnal Matematika 3, no. 4 (November 28, 2014): 146. http://dx.doi.org/10.24843/mtk.2014.v03.i04.p077.
Повний текст джерелаAraveeporn, Autcha. "Comparing Parameter Estimation of Random Coefficient Autoregressive Model by Frequentist Method." Mathematics 8, no. 1 (January 2, 2020): 62. http://dx.doi.org/10.3390/math8010062.
Повний текст джерелаLiu, Kexin, Weimin Bao, Yufeng Hu, Yiqun Sun, Dongjing Li, Kuang Li, and Lili Liang. "Improvement in Ridge Coefficient Optimization Criterion for Ridge Estimation-Based Dynamic System Response Curve Method in Flood Forecasting." Water 13, no. 24 (December 7, 2021): 3483. http://dx.doi.org/10.3390/w13243483.
Повний текст джерелаMarjetič, Aleš. "Least-squares adjustment taking into account the errors in variables." Geodetski vestnik 65, no. 02 (2021): 205–18. http://dx.doi.org/10.15292/geodetski-vestnik.2021.02.205-218.
Повний текст джерелаPizarro Inostroza, María Gabriela, Francisco Javier Navas González, Vincenzo Landi, Jose Manuel León Jurado, Juan Vicente Delgado Bermejo, Javier Fernández Álvarez, and María del Amparo Martínez Martínez. "Goat Milk Nutritional Quality Software-Automatized Individual Curve Model Fitting, Shape Parameters Calculation and Bayesian Flexibility Criteria Comparison." Animals 10, no. 9 (September 18, 2020): 1693. http://dx.doi.org/10.3390/ani10091693.
Повний текст джерелаUTAMI, NI KETUT TRI, and I. KOMANG GDE SUKARSA. "PENERAPAN METODE GENERALIZED RIDGE REGRESSION DALAM MENGATASI MASALAH MULTIKOLINEARITAS." E-Jurnal Matematika 2, no. 1 (January 30, 2013): 54. http://dx.doi.org/10.24843/mtk.2013.v02.i01.p029.
Повний текст джерелаAnnan, Richard Fiifi, Yao Yevenyo Ziggah, John Ayer, and Christian Amans Odutola. "ACCURACY ASSESSMENT OF HEIGHTS OBTAINED FROM TOTAL STATION AND LEVEL INSTRUMENT USING TOTAL LEAST SQUARES AND ORDINARY LEAST SQUARES METHODS." Geoplanning: Journal of Geomatics and Planning 3, no. 2 (October 25, 2016): 87. http://dx.doi.org/10.14710/geoplanning.3.2.87-92.
Повний текст джерелаZverev, S. V., V. I. Karpov, and M. A. Nikitina. "Optimization of food compositions according to the ideal protein profile." Food systems 4, no. 1 (April 28, 2021): 4–11. http://dx.doi.org/10.21323/2618-9771-2021-4-1-4-11.
Повний текст джерелаChiang Hsieh, Lin-Han. "How Does the Effect Fade over Distance? An Inquiry into the Decay Pattern of Distance Effect on Property Values in the Case of Taipei, Taiwan." Land 10, no. 11 (November 12, 2021): 1238. http://dx.doi.org/10.3390/land10111238.
Повний текст джерелаДисертації з теми "Minimum residual sum of squares"
GRIBEL, DANIEL LEMES. "HYBRID GENETIC ALGORITHM FOR THE MINIMUM SUM-OF-SQUARES CLUSTERING PROBLEM." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30724@1.
Повний текст джерелаCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
Clusterização desempenha um papel importante em data mining, sendo útil em muitas áreas que lidam com a análise exploratória de dados, tais como recuperação de informações, extração de documentos e segmentação de imagens. Embora sejam essenciais em aplicações de data mining, a maioria dos algoritmos de clusterização são métodos ad-hoc. Eles carecem de garantias na qualidade da solução, que em muitos casos está relacionada a uma convergência prematura para um mínimo local no espaço de busca. Neste trabalho, abordamos o problema de clusterização a partir da perspectiva de otimização, onde propomos um algoritmo genético híbrido para resolver o problema Minimum Sum-of-Squares Clustering (MSSC, em inglês). A meta-heurística proposta é capaz de escapar de mínimos locais e gerar soluções quase ótimas para o problema MSSC. Os resultados mostram que o método proposto superou os resultados atuais da literatura – em termos de qualidade da solução – para quase todos os conjuntos de instâncias considerados para o problema MSSC.
Clustering plays an important role in data mining, being useful in many fields that deal with exploratory data analysis, such as information retrieval, document extraction, and image segmentation. Although they are essential in data mining applications, most clustering algorithms are adhoc methods. They have a lack of guarantee on the solution quality, which in many cases is related to a premature convergence to a local minimum of the search space. In this research, we address the problem of data clustering from an optimization perspective, where we propose a hybrid genetic algorithm to solve the Minimum Sum-of-Squares Clustering (MSSC) problem. This meta-heuristic is capable of escaping from local minima and generating near-optimal solutions to the MSSC problem. Results show that the proposed method outperformed the best current literature results - in terms of solution quality - for almost all considered sets of benchmark instances for the MSSC objective.
Snízek, Viktor. "On the Saddlepoint Approximation for the Residual Sum of Squares in Special Linear Heteroscedastic Models." Thesis, Uppsala University, Department of Mathematics, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-121805.
Повний текст джерелаMasouleh, Mehdi Imani. "Optimal control and stability of four-wheeled vehicles." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:c55c3e9c-270c-4d47-b5f8-e86621608b24.
Повний текст джерелаMun, Jungwon. "Diagnostics for repeated measurements using residual sum of squares : TRSS plot and its application /." 2006. http://www.library.wisc.edu/databases/connect/dissertations.html.
Повний текст джерелаЧастини книг з теми "Minimum residual sum of squares"
Dao, Thi-Bich-Hanh, Khanh-Chuong Duong, and Christel Vrain. "Constrained Minimum Sum of Squares Clustering by Constraint Programming." In Lecture Notes in Computer Science, 557–73. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23219-5_39.
Повний текст джерелаHoai An, Le Thi, and Pham Dinh Tao. "Minimum Sum-of-Squares Clustering by DC Programming and DCA." In Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 327–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04020-7_35.
Повний текст джерелаMerz, Peter. "An Iterated Local Search Approach for Minimum Sum-of-Squares Clustering." In Advances in Intelligent Data Analysis V, 286–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45231-7_27.
Повний текст джерелаLiu, Yongguo, Libin Wang, and Kefei Chen. "A Tabu Search Based Method for Minimum Sum of Squares Clustering." In Pattern Recognition and Data Mining, 248–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551188_27.
Повний текст джерелаMinh, Le Hoai, Le Thi Hoai An, and Pham Dinh Tao. "Gaussian Kernel Minimum Sum-of-Squares Clustering and Solution Method Based on DCA." In Intelligent Information and Database Systems, 331–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28490-8_35.
Повний текст джерелаPereira, Thiago, Daniel Aloise, Jack Brimberg, and Nenad Mladenović. "Review of Basic Local Searches for Solving the Minimum Sum-of-Squares Clustering Problem." In Open Problems in Optimization and Data Analysis, 249–70. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99142-9_13.
Повний текст джерелаHoai Minh, Le, and Ta Minh Thuy. "DC Programming and DCA for Solving Minimum Sum-of-Squares Clustering Using Weighted Dissimilarity Measures." In Transactions on Computational Intelligence XIII, 113–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54455-2_5.
Повний текст джерелаHaouas, Mohammed Najib, Daniel Aloise, and Gilles Pesant. "An Exact CP Approach for the Cardinality-Constrained Euclidean Minimum Sum-of-Squares Clustering Problem." In Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 256–72. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58942-4_17.
Повний текст джерелаZhou, Yu, and Zepeng Zhuo. "RETRACTED CHAPTER: On the Minimum the Sum-of-Squares Indicator of a Balanced Boolean Function." In Communications and Networking, 314–21. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66628-0_30.
Повний текст джерелаZhou, Yu, and Zepeng Zhuo. "Retraction Note to: On the Minimum the Sum-of-Squares Indicator of a Balanced Boolean Function." In Communications and Networking, C1. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-66628-0_57.
Повний текст джерелаТези доповідей конференцій з теми "Minimum residual sum of squares"
Rayces, J. L., and Lan Lebich. "Hybrid method of lens optimization." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.mf4.
Повний текст джерелаCho, Hyuk, Inderjit S. Dhillon, Yuqiang Guan, and Suvrit Sra. "Minimum Sum-Squared Residue Co-clustering of Gene Expression Data." In Proceedings of the 2004 SIAM International Conference on Data Mining. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2004. http://dx.doi.org/10.1137/1.9781611972740.11.
Повний текст джерелаYao, Qiang, Xiangjing Lai, and Zhetong Zhu. "A memetic algorithm for the balanced minimum sum-of-squares clustering problem." In 2021 China Automation Congress (CAC). IEEE, 2021. http://dx.doi.org/10.1109/cac53003.2021.9727258.
Повний текст джерелаNesbitt, Richard T., Sudhakar M. Pandit, and Christian M. Muehlfeld. "Powersplit Hybrid Electric Vehicle Control With Data Dependent Systems Forecasting." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42260.
Повний текст джерелаFirdiansyah, Adin Lazuardy, Nur Shofianah, and Marjono. "The Least-Squares Finite Element and Minimum Residual Method for Linear Hyperbolic Problems." In International Conference on Mathematics and Islam. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0008520702780283.
Повний текст джерелаSun, Qin, Xiangjing Lai, and Qiang Yao. "An iterated variable neighborhood search algorithm for the balanced minimum sum-of-squares clustering problem." In 2020 Chinese Automation Congress (CAC). IEEE, 2020. http://dx.doi.org/10.1109/cac51589.2020.9327415.
Повний текст джерелаPai, M. C., and A. Sinha. "Generating Command Inputs to Eliminate Residual Vibration via Direct Optimization and Quadratic Programming Techniques." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0918.
Повний текст джерелаDias, Fernando G., Jose V. C. Vargas, Sam Yang, Vanessa M. Kava, Wellington Balmant, Andre B. Mariano, and Juan C. Ordonez. "Experimental Calibration of a Biohydrogen Production Estimation Model." In ASME 2018 Verification and Validation Symposium. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/vvs2018-9341.
Повний текст джерелаTurek, Steven, and Sam Anand. "A Hull Normal Approach for Determining the Size of Cylindrical Features." In ASME 2007 International Manufacturing Science and Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/msec2007-31206.
Повний текст джерелаJuluri, Naresh, Elie Dib, Sherif el-Gebaly, and Philip Cooper. "Reliability Based Deep Water Spool Piece Design." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10010.
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