Academic literature on the topic 'Adaptive experimentation'
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Journal articles on the topic "Adaptive experimentation"
Cavagnaro, Daniel R., Mark A. Pitt, and Jay I. Myung. "Model discrimination through adaptive experimentation." Psychonomic Bulletin & Review 18, no. 1 (November 16, 2010): 204–10. http://dx.doi.org/10.3758/s13423-010-0030-4.
Full textSalgotra, Rohit, Urvinder Singh, Sriparna Saha, and Amir H. Gandomi. "Self adaptive cuckoo search: Analysis and experimentation." Swarm and Evolutionary Computation 60 (February 2021): 100751. http://dx.doi.org/10.1016/j.swevo.2020.100751.
Full textKang, G., and L. Fransen. "Experimentation with an adaptive noise-cancellation filter." IEEE Transactions on Circuits and Systems 34, no. 7 (July 1987): 753–58. http://dx.doi.org/10.1109/tcs.1987.1086201.
Full textKolsarici, Ceren, Demetrios Vakratsas, and Prasad A. Naik. "The Anatomy of the Advertising Budget Decision: How Analytics and Heuristics Drive Sales Performance." Journal of Marketing Research 57, no. 3 (March 24, 2020): 468–88. http://dx.doi.org/10.1177/0022243720907578.
Full textSiddiqui, Mubashir, and Kai Yang. "Adaptive sequential experimentation based on revised simplex search." International Journal of Experimental Design and Process Optimisation 1, no. 2/3 (2009): 105. http://dx.doi.org/10.1504/ijedpo.2009.030315.
Full textSeraji, H. "Decentralized adaptive control of manipulators: theory, simulation, and experimentation." IEEE Transactions on Robotics and Automation 5, no. 2 (April 1989): 183–201. http://dx.doi.org/10.1109/70.88039.
Full textDu, Hai, L. Andrew Corkan, Kexin Yang, Patricia Y. Kuo, and Jonathan S. Lindsey. "An automated microscale chemistry workstation capable of parallel, adaptive experimentation." Chemometrics and Intelligent Laboratory Systems 48, no. 2 (August 1999): 181–203. http://dx.doi.org/10.1016/s0169-7439(99)00019-2.
Full textGhedira, Souhir, Pierre Pino, and Guy Bourhis. "Conception and Experimentation of a Communication Device with Adaptive Scanning." ACM Transactions on Accessible Computing 1, no. 3 (February 2009): 1–23. http://dx.doi.org/10.1145/1497302.1497304.
Full textTaleb, Mohammed, Arie Levant, and Franck Plestan. "Pneumatic actuator control: Solution based on adaptive twisting and experimentation." Control Engineering Practice 21, no. 5 (May 2013): 727–36. http://dx.doi.org/10.1016/j.conengprac.2012.06.011.
Full textHuang, Boyuan, Zhenghao Li, and Jiangyu Li. "An artificial intelligence atomic force microscope enabled by machine learning." Nanoscale 10, no. 45 (2018): 21320–26. http://dx.doi.org/10.1039/c8nr06734a.
Full textDissertations / Theses on the topic "Adaptive experimentation"
Yang, Jeremy(Jeremy Zhen). "Learning who to target with what via adaptive experimentation to optimize long-term outcomes." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126956.
Full textCataloged from the official PDF of thesis.
Includes bibliographical references (pages 29-33).
This paper develops a framework for learning and implementing optimal targeting policies via a sequence of adaptive experiments to maximize long-term customer outcomes. Our framework builds on literature on doubly robust off-policy evaluation and optimization from computer science, statistics, and economics, and can also adapt to potential changes in the environment. We apply our framework to learn optimal discount targeting policies to the current subscribers at Boston Globe to maximize long-term revenue. Since the long-term revenue is not observable, we use intermediate outcomes such as subscribers' short-term revenue and their content consumption to construct a surrogate index and use it to impute the missing long-term revenues. Our method improves the average 1.5-year revenue by $15 and projected 3-year revenue by $40 per subscriber compared to several competitive targeting policies such as a policy that targets no one, a random policy, and a policy that targets subscribers with the highest churn risk. Over a three year period, our approach has a net-positive revenue impact in the range $1.7-$2.8 million compared to the status quo.
by Jeremy (Zhen) Yang.
S.M. in Management Research
S.M.inManagementResearch Massachusetts Institute of Technology, Sloan School of Management
Neves, Pedro. "An Implementation Framework for Emotion Based Adaptive Agents." Master's thesis, Department of Informatics, University of Lisbon, 2008. http://hdl.handle.net/10451/14023.
Full textFoster, Chad Ryan. "Combining adaptive and designed statistical experimentation : process improvement, data classification, experimental optimization and model building." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/49559.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references.
Research interest in the use of adaptive experimentation has returned recently. This historic technique adapts and learns from each experimental run but requires quick runs and large effects. The basis of this renewed interest is to improve experimental response and it is supported by fast, deterministic computer experiments and better post-experiment data analysis. The unifying concept of this thesis is to present and evaluate new ways of using adaptive experimentation combined with the traditional statistical experiment. The first application uses an adaptive experiment as a preliminary step to a more traditional experimental design. This provides experimental redundancy as well as greater model robustness. The number of extra runs is minimal because some are common and yet both methods provide estimates of the best setting. The second use of adaptive experimentation is in evolutionary operation. During regular system operation small, nearly unnoticeable, variable changes can be used to improve production dynamically. If these small changes follow an adaptive procedure there is high likelihood of improvement and integrating into the larger process development. Outside of the experimentation framework the adaptive procedure is shown to combine with other procedures and yield benefit. Two examples used here are an unconstrained numerical optimization procedure as well as classification parameter selection. The final area of new application is to create models that are a combination of an adaptive experiment with a traditional statistical experiment.
(cont.) Two distinct areas are examined, first, the use of the adaptive experiment to determine the covariance structure, and second, the direct incorporation of both data sets in an augmented model. Both of these applications are Bayesian with a heavy reliance on numerical computation and simulation to determine the combined model. The two experiments investigated could be performed on the same physical or analytical model but are also extended to situations with different fidelity models. The potential for including non-analytical, even human, models is also discussed. The evaluative portion of this thesis begins with an analytic foundation that outlines the usefulness as well as the limitations of the procedure. This is followed by a demonstration using a simulated model and finally specific examples are drawn from the literature and reworked using the method. The utility of the final result is to provide a foundation to integrate adaptive experimentation with traditional designed experiments. Giving industrial practitioners a solid background and demonstrated foundation should help to codify this integration. The final procedures represent a minimal departure from current practice but represent significant modeling and analysis improvement.
by Chad Ryan Foster.
Sc.D.
GU, Hairong. "A Robust Adaptive Autonomous Approach to Optimal Experimental Design." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1471590586.
Full textLiu, Chenchen. "Integrating touch screen tablets in early childhood education ? : inquiry and experimentation in a French kindergarten." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAG009.
Full textIntegrating touch screen tablets in early childhood education is promising but challenging. The main three subjects involved in this integration are child, parent and teacher. This dissertation investigated child manipulation, parent attitudes and teacher acceptance respective to answer the question of the effectiveness of integrating touch screen tablets in early childhood education. In the Child part, two studies were conducted. The first study explored child digital manipulation behaviors on a touch screen tablets and made a conclusion that technology difficulty in a game app in the tablets matters more than content difficulty. The second study investigated the effectiveness of the adaptive difficulty adjustment in game-based learning in child cognitive skills achievement and enjoyment experience. And the results indicated that the game design significantly impacts on child comprehension and digital manipulation and the adaptive difficulty adjustment positively influenced child cognitive skills achievement in literacy, basic mathematics and basic drawing while no significant difference was found in child enjoyment experience between the experiment and control group. In the Parent and Teacher part, based on the survey and interview results, parents hold positive attitude towards touch screen tablets integrated in early childhood education and they strongly believed the potential of tablets to improve children learning. For teachers, it was found that the age is the key element impacting their acceptance of using tablets in their pedagogy, and teachers expected more practical instruction of using tablet in their teaching
Léopold, Marc. "Exploration de la performance de la gouvernance des petites pêcheries du Pacifique Sud par une démarche de recherche-action." Thesis, Brest, 2018. http://www.theses.fr/2018BRES0031/document.
Full textThis work is a contribution for elaborating a research framework for the study of institutional development for the comanagement of common fishery resources. Indeed this governance mode is marginally being used worldwide despite its positive impacts that have been proved in a large number of concrete cases.Specifically the thesis examines the performance of the governance of small-scale fishery through an empirical and inductive approach of institutional economics. Our action research framework guided interventions of public fishery policy on the management of overexploited marine resources in several case studies in New Caledonia and Vanuatu (South Pacific) between 2008 and 2016.Those cases corresponded to different contexts and temporal and spatial scales. The thesis is supported i) by a theoretical causal model of the effects of this kind of intervention on institutional change in smallscale fisheries, and ii) by an evaluation grid of the dynamics of institutional development in the case studies. It analytically and practically explores the process of adaptive experimentation of co-management development in reallife conditions. Academic and non academic knowledge on small-scale fisheries and the learning through shared governance is mobilized.Results show that spatial, multi-scale management of reef fisheries through temporary openings and closures of fishing is a way to combine community-based management and government intervention that is relevant for a number of single- and multi-species fisheries in the South Pacific. Four key processes that drive the economic performance of fishery co-management regimes are highlighted, namely individual learning of systemic processes, collective learning, homogenization of actors’ strategies, and building of capacity for action.These processes are interdependent following their own temporality in response to multiple stresses and fishery contingencies, that determine the initial conditions of the interventions in particular. By explicitly taking into account sustainability problems of smallscale fisheries at both the national and the local, operational levels, our researchframework proposes truly transdisciplinary research guidelines on the co-management of small-scale fisheries and on its capacity for addressing sustainability challenges more efficiently
Redrobe, John Paul. "Le test de la nage forcee chez la souris : est-il un modele adapte pour l'etude des mecanismes d'action des antidepresseurs ? (doctorat : psychopharmacologie)." Nantes, 1998. http://www.theses.fr/1998NANT12VS.
Full textBooks on the topic "Adaptive experimentation"
Brooker, Paul, and Margaret Hayward. Intel: Grove’s Only the Paranoid Survive. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198825395.003.0006.
Full textTroncy, Éric, and Simon Authier. Ethical pain experimentation in conscious animals. Edited by Paul Farquhar-Smith, Pierre Beaulieu, and Sian Jagger. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198834359.003.0012.
Full textSapiro, Ian. The Pop-Music Industry and the British Musical. Edited by Robert Gordon and Olaf Jubin. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199988747.013.13.
Full textBook chapters on the topic "Adaptive experimentation"
Lucas, Bernard G., and Jean-Pierre Cadre. "Experimentation of Spatial Processing Methods." In Adaptive Methods in Underwater Acoustics, 317–24. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5361-1_25.
Full textAcharya, Anurag, Huican Zhu, and Kai Shen. "Adaptive Algorithms for Cache-efficient Trie Search." In Algorithm Engineering and Experimentation, 300–315. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48518-x_18.
Full textDemaine, Erik D., Alejandro López-Ortiz, and J. Ian Munro. "Experiments on Adaptive Set Intersections for Text Retrieval Systems." In Algorithm Engineering and Experimentation, 91–104. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44808-x_7.
Full textNguyen, Dung. "Adaptive Behavior, Experimentation and Some Empirical Results." In Marketing Decisions Under Uncertainty, 271–303. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6209-2_9.
Full textRosen, Yigal, Ilia Rushkin, Rob Rubin, Liberty Munson, Andrew Ang, Gregory Weber, Glenn Lopez, and Dustin Tingley. "Adaptive Learning Open Source Initiative for MOOC Experimentation." In Lecture Notes in Computer Science, 307–11. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93846-2_57.
Full textMatsumaru, Naoki, Florian Centler, Klaus-Peter Zauner, and Peter Dittrich. "Self-Adaptive Scouting—Autonomous Experimentation for Systems Biology." In Lecture Notes in Computer Science, 52–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24653-4_6.
Full textInfante Castillo, Francisco, and Borys Culqui Culqui. "Experimentation of Adaptive Strategies in High-Speed Machining (HSM) for Rough Milling Process Using Prodax Aluminum." In Lecture Notes in Electrical Engineering, 109–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72212-8_9.
Full textMalavasi, Massimiliano, Roberta Agusto, F. Marcella Ioele, Stefano Martinuzzi, Maria Rosaria Motolese, and Matteo Rimondini. "Living in the Living Lab! Adapting Two Model Domotic Apartments for Experimentation in Autonomous Living in a Context of Residential Use." In Ambient Assisted Living, 325–33. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01119-6_33.
Full text"Embrace Adaptive Experimentation." In Beyond Advertising, 131–46. Hoboken, NJ, USA: John Wiley & Sons, Inc, 2016. http://dx.doi.org/10.1002/9781119170457.ch7.
Full textFERNÁNDEZ, ROEMI, CARLOTA SALINAS, HÉCTOR MONTES, PABLO GONZÁLEZ DE SANTOS, and MANUEL ARMADA. "DESIGN AND EXPERIMENTATION OF A TRACKING SYSTEM FOR HUMANITARAN DEMINING APPLICATIONS." In Adaptive Mobile Robotics, 723–30. WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814415958_0092.
Full textConference papers on the topic "Adaptive experimentation"
Slamnik-Kriještorac, Nina, João Francisco Nunes Pinheiro, Thomas Huybrechts, Daniel van den Akker, and Johann M. Marquez-Barja. "Adaptive remote experimentation for engineering students." In GoodIT '21: Conference on Information Technology for Social Good. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3462203.3475931.
Full textHematian, Amirshahram, James Nguyen, Chao Lu, Wei Yu, and Daniel Ku. "Software Defined Radio Testbed Setup and Experimentation." In RACS '17: International Conference on Research in Adaptive and Convergent Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3129676.3129690.
Full textKelley, Leah, Kurt Talke, Patrick Longhini, and Garret Catron. "Tip-over prevention: Adaptive control development and experimentation." In 2015 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2015. http://dx.doi.org/10.1109/icra.2015.7139802.
Full textClayton, Thomas F., Alan F. Murray, and Iain Lindsay. "GP-GPU: Bridging the Gap between Modelling & Experimentation." In 2009 NASA/ESA Conference on Adaptive Hardware and Systems (AHS). IEEE, 2009. http://dx.doi.org/10.1109/ahs.2009.60.
Full textWang, Hungjen, Daniel D. Frey, and Gordon M. Kaufman. "Bayesian Analysis of Adaptive One-Factor-at-a-Time Experimentation." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-34926.
Full textFrey, Daniel D., and Hungjen Wang. "Towards a Theory of Experimentation for Expected Improvement." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85484.
Full textAndramuño, Joselyne, Luis Córdova, Pablo Parra, and Nino Vega. "Experimentation with an adaptive waterfall controller with disturbance effect." In The 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation, and Infrastructure for Sustainable Cities and Communities”. Latin American and Caribbean Consortium of Engineering Institutions, 2019. http://dx.doi.org/10.18687/laccei2019.1.1.266.
Full textJimenez, Miguel, Luis F. Rivera, Norha M. Villegas, Gabriel Tamura, Hausi A. Muller, and Nelly Bencomo. "An Architectural Framework for Quality-Driven Adaptive Continuous Experimentation." In 2019 IEEE/ACM Joint 4th International Workshop on Rapid Continuous Software Engineering and 1st International Workshop on Data-Driven Decisions, Experimentation and Evolution (RCoSE/DDrEE). IEEE, 2019. http://dx.doi.org/10.1109/rcose/ddree.2019.00012.
Full textAcain, Jose, Christopher Kitts, Thomas Adamek, Kamak Ebadi, and Mike Rasay. "A Multi-Robot Testbed for Adaptive Sampling Experimentation via Radio Frequency Fields." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47697.
Full textLuu, Duc Lich, Ciprian Lupu, and Catalin Petrescu. "Simulation and Experimentation of Adaptive Cruise Control for Robot Platooning." In 2020 24th International Conference on System Theory, Control and Computing (ICSTCC). IEEE, 2020. http://dx.doi.org/10.1109/icstcc50638.2020.9259781.
Full textReports on the topic "Adaptive experimentation"
Schneider, Edward A., William Kalsow, Lynn TeWinkel, and Michael Carney. Experimentation with Adaptive Security Policies. Fort Belvoir, VA: Defense Technical Information Center, June 1996. http://dx.doi.org/10.21236/ada311215.
Full textHARRIS, DAVID L. Echo Implemented: A Model for Complex Adaptive Systems Computer Experimentation. Office of Scientific and Technical Information (OSTI), July 2001. http://dx.doi.org/10.2172/786628.
Full textBrinkerhoff, Derick W., Sarah Frazer, and Lisa McGregor-Mirghani. Adapting to Learn and Learning to Adapt: Practical Insights from International Development Projects. RTI Press, January 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0015.1801.
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