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Relevant bibliographies by topics / Boosting

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Academic literature on the topic 'Boosting'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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Journal articles on the topic "Boosting"

1

Singh, Sandeep, and Guy W. Fried. "“Boosting”." Medicine & Science in Sports & Exercise 38, Supplement (2006): S479. http://dx.doi.org/10.1249/00005768-200605001-02879.

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Fearn, Tom. "Boosting." NIR news 18, no. 1 (2007): 11–12. http://dx.doi.org/10.1255/nirn.1004.

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Becker, Thijs, Melvin Geubbelmans, Axel-Jan Rousseau, Dirk Valkenborg, and Tomasz Burzykowski. "Boosting." American Journal of Orthodontics and Dentofacial Orthopedics 165, no. 1 (2024): 122–24. http://dx.doi.org/10.1016/j.ajodo.2023.10.003.

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Bühlmann, Peter, and Bin Yu. "Boosting." WIREs Computational Statistics 2, no. 1 (2009): 69–74. http://dx.doi.org/10.1002/wics.55.

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Onoda, Takashi. "Overfitting of boosting and regularized Boosting algorithms." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 90, no. 9 (2007): 69–78. http://dx.doi.org/10.1002/ecjc.20344.

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Wojtys, Edward M. "Boosting Performance." Sports Health: A Multidisciplinary Approach 13, no. 2 (2021): 109–10. http://dx.doi.org/10.1177/1941738121991495.

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Otohwo, I. O., and D. R. Sadoh. "Boosting numbers." British Dental Journal 197, no. 8 (2004): 449. http://dx.doi.org/10.1038/sj.bdj.4811778.

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Leigh-Smith, S. "Blood boosting." British Journal of Sports Medicine 38, no. 1 (2004): 99–101. http://dx.doi.org/10.1136/bjsm.2003.007195.

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Pereira, M. "Boosting competitiveness." IEE Review 50, no. 5 (2004): 35–37. http://dx.doi.org/10.1049/ir:20040504.

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Ellis, Andrew. "Boosting bandwidth." Physics World 29, no. 4 (2016): 17. http://dx.doi.org/10.1088/2058-7058/29/4/29.

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Dissertations / Theses on the topic "Boosting"

1

Lin, Wei-Chao. "Boosting image annotation." Thesis, University of Sunderland, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.512013.

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Thompson, Simon Giles. "Distributed boosting algorithms." Thesis, University of Portsmouth, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285529.

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Zhou, Mian. "Gobor-boosting face recognition." Thesis, University of Reading, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494814.

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In the past decade, automatic face recognition has received much attention by both the commercial and public sectors as an efficient and resilient recognition technique in biometrics. This thesis describes a highly accurate appearance-based algorithm for grey scale front-view face recognition - Gabor-Boosting face recognition by means of computer vision, pattern recognition, image processing, machine learning etc. The strong performance of the Gabor-boosting face recognition algorithm is highlighted by combining three key leading edge techniques - the Gabor wavelet transform, AdaBoost, Support

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ANIBOLETE, TULIO JORGE DE A. N. DE S. "BOOSTING FOR RECOMMENDATION SYSTEMS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13225@1.

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Com a quantidade de informação e sua disponibilidade facilitada pelo uso da Internet, diversas opções são oferecidas às pessoas e estas, normalmente, possuem pouca ou quase nenhuma experiência para decidir dentre as alternativas existentes. Neste âmbito, os Sistemas de Recomendação surgem para organizar e recomendar automaticamente, através de Aprendizado de Máquina, itens interessantes aos usuários. Um dos grandes desafios deste tipo de sistema é realizar o casamento correto entre o que está sendo recomendado e aqueles que estão recebendo a recomendação. Este trabalho aborda um Sistema de Rec

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SALOMONI, MATTEO. "Boosting scintillation based detection." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2019. http://hdl.handle.net/10281/241285.

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Durante il mio dottorato di ricerca ho studiato in modo approfondito I cristalli scintillanti, trovando diversi limiti legati all’emissione di luce, proprietà ottiche e stabilità chimica. Sono stati sviluppati diversi banchi di lavoro specifici per le caratterizzazioni presentate nella tesi e molto lavoro è stato dedicato alla finalizzazione dei programmi di simulazione necessari alla descrizione del sistema scintillatore-photorivelatore. Uno studio della maggior parte degli Approcci classici, sul tema dell’ottimizzazione degli scintillatori, ha portato a confermare come si sia arrivati ad un

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Hofner, Benjamin. "Boosting in structured additive models." Diss., lmu, 2011. http://nbn-resolving.de/urn:nbn:de:bvb:19-138053.

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Rätsch, Gunnar. "Robust boosting via convex optimization." Phd thesis, Universität Potsdam, 2001. http://opus.kobv.de/ubp/volltexte/2005/39/.

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In dieser Arbeit werden statistische Lernprobleme betrachtet. Lernmaschinen extrahieren Informationen aus einer gegebenen Menge von Trainingsmustern, so daß sie in der Lage sind, Eigenschaften von bisher ungesehenen Mustern - z.B. eine Klassenzugehörigkeit - vorherzusagen. Wir betrachten den Fall, bei dem die resultierende Klassifikations- oder Regressionsregel aus einfachen Regeln - den Basishypothesen - zusammengesetzt ist. Die sogenannten Boosting Algorithmen erzeugen iterativ eine gewichtete Summe von Basishypothesen, die gut auf ungesehenen Mustern vorhersagen. <br /> Die Arbeit behandelt

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Chan, Jeffrey (Jeffrey D. ). "On boosting and noisy labels." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100297.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 53-56).<br>Boosting is a machine learning technique widely used across many disciplines. Boosting enables one to learn from labeled data in order to predict the labels of unlabeled data. A central property of boosting instru

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Bjurgert, Johan. "System Identification by Adaptive Boosting." Thesis, KTH, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-179711.

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In the field of machine learning, the algorithm Adaptive Boosting has beensuccessfully applied to a wide range of regression and classification problems.Still, there is no known method to use the algorithm to estimate dynamical systems.In this thesis, the relationship between Adaptive Boosting and systemidentification is explored. A new identification method, inspired by AdaptiveBoosting, called TM-Boost is introduced. It fits a dynamical model byiteratively adding orthonormal basis functions. An interesting feature of themethod is that there is no need to specify a model order. It is also pro

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Mayr, Andreas [Verfasser]. "Boosting beyond the mean - extending component-wise gradient boosting algorithms to multiple dimensions / Andreas Mayr." München : Verlag Dr. Hut, 2013. http://d-nb.info/104287848X/34.

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Books on the topic "Boosting"

1

Maccaro, Janet C. Brain-boosting foods. Siloam, 2008.

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Allen, Kelly-Ann, and Peggy Kern. Boosting School Belonging. Routledge, 2019. http://dx.doi.org/10.4324/9780203729632.

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Steer, Wilston. Boosting the Bay. North Bay and District Chamber of Commerce, 1994.

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Thompson, Simon Giles. Distributed boosting algorithms. University of Portsmouth, 1999.

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White, Sandra Sardella. Boosting your energy. Edited by Bennett Hilary, Gilbert Susan 1950-, Dawson, D. M. (David Michael), 1930-, Komaroff Anthony L, Dadoly Ann Marie, and Harvard Medical School. Health Publications Group. Harvard Health Publications, 2008.

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Schapire, Robert E. Boosting: Foundations and algorithms. MIT Press, 2012.

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Satterfield, Jason M. Boosting your emotional intelligence. Teaching Co., 2017.

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Camarinha-Matos, Luis M., Hamideh Afsarmanesh, and Angel Ortiz, eds. Boosting Collaborative Networks 4.0. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62412-5.

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Cogen, Victor. Boosting the Adolescent Underachiever. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4899-6576-9.

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Authority, Financial Services, ed. Boosting your occupational pension. Financial Services Authority, 1999.

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Book chapters on the topic "Boosting"

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Forsyth, David. "Boosting." In Applied Machine Learning. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18114-7_12.

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Zhou, Zhi-Hua. "Boosting." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_568-2.

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Chu, Jianghao, Tae-Hwy Lee, Aman Ullah, and Ran Wang. "Boosting." In Macroeconomic Forecasting in the Era of Big Data. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31150-6_14.

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Zhou, Zhi-Hua. "Boosting." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_568.

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Berk, Richard A. "Boosting." In Statistical Learning from a Regression Perspective. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44048-4_6.

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Munro, Paul, Hannu Toivonen, Geoffrey I. Webb, et al. "Boosting." In Encyclopedia of Machine Learning. Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_84.

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Williams, Graham. "Boosting." In Data Mining with Rattle and R. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-9890-3_13.

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Li, Hang. "Boosting." In Machine Learning Methods. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3917-6_8.

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Schonlau, Matthias. "Boosting." In Applied Statistical Learning. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33390-3_11.

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Kanamori, Takafumi, Kohei Hatano, and Osamu Watanabe. "Boosting." In Computer Vision. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-03243-2_836-1.

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Conference papers on the topic "Boosting"

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Warni, Elly, Dea Wahsa Saputri, A. Ais Prayogi Alimuddin, Muhammad Rizal H, Yunifa Miftachul Arif, and Irfan Tanzilur Rahman. "Boosting Methods Comparison : XGBoost, Adaboost and Gradient Boosting for Business Partner Performance Prediction." In 2024 8th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE). IEEE, 2024. http://dx.doi.org/10.1109/icitisee63424.2024.10730221.

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Paul, Indrani, Srilatha Manne, Manish Arora, W. Lloyd Bircher, and Sudhakar Yalamanchili. "Cooperative boosting." In the 40th Annual International Symposium. ACM Press, 2013. http://dx.doi.org/10.1145/2485922.2485947.

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Xiang, Zhen James, and Peter J. Ramadge. "Sparse boosting." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4959911.

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Herlihy, Maurice, and Eric Koskinen. "Transactional boosting." In the 13th ACM SIGPLAN Symposium. ACM Press, 2008. http://dx.doi.org/10.1145/1345206.1345237.

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Masnadi-Shirazi, Hamed, and Nuno Vasconcelos. "Asymmetric boosting." In the 24th international conference. ACM Press, 2007. http://dx.doi.org/10.1145/1273496.1273573.

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Cochran, Robert A., Loris D'Antoni, Benjamin Livshits, David Molnar, and Margus Veanes. "Program Boosting." In POPL '15: The 42nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages. ACM, 2015. http://dx.doi.org/10.1145/2676726.2676973.

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Yan Jiang and Xiaoqing Ding. "Bhattacharyya boosting." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761134.

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Liu, Yang, Zhuo Ma, Ximeng Liu, et al. "Boosting Privately: Federated Extreme Gradient Boosting for Mobile Crowdsensing." In 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS). IEEE, 2020. http://dx.doi.org/10.1109/icdcs47774.2020.00017.

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Roberto, Marcello Augustus Ramos, Jean Carlos Dias E Silva, Herbert Prince Koelln, et al. "Boosting To Boosting: A New Approach To Enhance, Support And Maximize Subsea Processing And Boosting Applications." In Offshore Technology Conference. OTC, 2023. http://dx.doi.org/10.4043/32612-ms.

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Abstract Over the last 20 years subsea processing and boosting (P&B) technologies have supported and pushed forward the offshore oil and gas production, maximizing field production and recovery factor. Although those technologies achieved remarkable success, P&B is still not a heavy-weight business, despite Operators considering it adds great value. Therefore, to enhance and maximize P&B applications, a task force was created to identify the main hurdles, showstoppers and barriers, as well as to establish a robust process, methods and procedures related, including O&G Operators

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Oliaei, O. "Oversampled gain-boosting." In Proceedings of the International Symposium on Low Power Electronics and Design. IEEE, 2002. http://dx.doi.org/10.1109/lpe.2002.146742.

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Reports on the topic "Boosting"

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Skone, Timothy J. CO2 Pressure Boosting. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1509343.

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Skone, Timothy J. Gathering and boosting flaring. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1559822.

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Steve Arnold, Craig Balis, Pierre Barthelet, et al. Garrett Electric Boosting Systems (EBS) Program. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/910121.

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Water Management Institute, International. Boosting water benefits in West Bengal. International Water Management Institute (IWMI), 2012. http://dx.doi.org/10.5337/2012.004.

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Skone, Timothy J. Gathering and boosting centrifugal compression venting. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1559821.

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Water Management Institute, International. Improving soils and boosting yields in Thailand. International Water Management Institute (IWMI), 2010. http://dx.doi.org/10.5337/2011.0031.

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Skone, Timothy J. Gathering and boosting acid gas removal (AGR). Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1559820.

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Markus, Maurer, Khammounty Bounseng, Morlok Michael, and Teutoburg-Weiss Hannes. Boosting Growth and Transformation in Laos’ Industry. Swiss National Science Foundation (SNSF), 2019. http://dx.doi.org/10.46446/publication_r4d.2019.2.en.

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Two thirds of Laos’ manufacturing industry has experienced growth and transformation over the last half decade. There are noteworthy differences between small and large companies: whilst both grew quickly, larger ones have achieved more rapid change in products, technology and organisation. However, a dimension of growth and transformation where large companies in Laos are lagging behind is labour productivity.

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Zilberman, Mark. Shouldn’t Doppler 'De-boosting' be accounted for in calculations of intrinsic luminosity of Standard Candles? Intellectual Archive, 2021. http://dx.doi.org/10.32370/iaj.2569.

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"Doppler boosting / de-boosting" is a well-known relativistic effect that alters the apparent luminosity of approaching/receding radiation sources. "Doppler boosting" alters the apparent luminosity of approaching light sources to appear brighter, while "Doppler de-boosting" alters the apparent luminosity of receding light sources to appear fainter. While "Doppler boosting / de-boosting" has been successfully accounted for and observed in relativistic jets of AGN, double white dwarfs, in search of exoplanets and stars in binary systems it was ignored in the establishment of Standard Candles for

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Zilberman, Mark. An Adjustment of the Apparent Luminosity of Standard Candles for the 'De-boosting' Effect. Intellectual Archive, 2022. http://dx.doi.org/10.32370/iaj.2639.

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“De-boosting” is a well-known relativistic effect that alters the apparent luminosity of radiation sources with the non-zero redshift parameter z. It exists in both Special Relativity and General Relativity frameworks and is proportional to (z+1)^(-2). While the “boosting” (for blueshift) and “de-boosting” (for redshift) of light sources has been successfully accounted for and observed in research of various astronomical objects, it was ignored in the establishment of Standard candles for cosmological distances. A Standard candle adjustment appears necessary for “de-boosting” for high z, other

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