Relevant bibliographies by topics / Minimax

Academic literature on the topic 'Minimax'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Minimax"

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Rakhlin, Alexander, Karthik Sridharan, and Alexandre B. Tsybakov. "Empirical entropy, minimax regret and minimax risk." Bernoulli 23, no. 2 (May 2017): 789–824. http://dx.doi.org/10.3150/14-bej679.

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Mak, Simon, and V. Roshan Joseph. "Minimax and Minimax Projection Designs Using Clustering." Journal of Computational and Graphical Statistics 27, no. 1 (July 11, 2017): 166–78. http://dx.doi.org/10.1080/10618600.2017.1302881.

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Rudlof, Peter. "On Minimax and Related Modules." Canadian Journal of Mathematics 44, no. 1 (February 1, 1992): 154–66. http://dx.doi.org/10.4153/cjm-1992-009-7.

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AbstractA module M is called a minimax module, if it has a finitely generated submodule U such that M/U is Artinian. This paper investigates minimax modules and some generalized classes over commutative Noetherian rings. One of our main results is: M is minimax iff every decomposition of a homomorphic image of M is finite.From this we deduce that:- All couniform modules are minimax.- All modules of finite codimension are minimax.- Essential covers of minimax modules are minimax. With the aid of these corollaries we completely determine the structure of couniform modules and modules of finite codimension.We then examine the following variants of the minimax property:- replace U “ finitely generated” by U “ coatomic” (i.e. every proper submodule of U is contained in a maximal submodule);- replace M/U “ Artinian” by M/U “ semi-Artinian” (i.e. every proper submodule of M/U contains a minimal submodule).
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Pitts, Jon T., and J. H. Rubinstein. "Equivariant minimax and minimal surfaces in geometric three-manifolds." Bulletin of the American Mathematical Society 19, no. 1 (July 1, 1988): 303–10. http://dx.doi.org/10.1090/s0273-0979-1988-15652-2.

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Wilson, B. J. "Minimax arcs." Discrete Mathematics 92, no. 1-3 (November 1991): 441–50. http://dx.doi.org/10.1016/0012-365x(91)90299-h.

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Bucy, R. S., M. K. Namiri, and J. R. Velman. "Minimax control." Computers & Mathematics with Applications 19, no. 4 (1990): 51–63. http://dx.doi.org/10.1016/0898-1221(90)90137-9.

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Schechter, Martin. "Minimax systems." Journal of Mathematical Analysis and Applications 345, no. 1 (September 2008): 431–54. http://dx.doi.org/10.1016/j.jmaa.2008.04.033.

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Zöschinger, Helmut. "Minimax-Moduln." Journal of Algebra 102, no. 1 (August 1986): 1–32. http://dx.doi.org/10.1016/0021-8693(86)90125-0.

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Yahagi, Takashi. "Minimax observers." Electronics and Communications in Japan (Part I: Communications) 69, no. 12 (1986): 45–54. http://dx.doi.org/10.1002/ecja.4410691206.

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George, Edward I., Feng Liang, and Xinyi Xu. "From Minimax Shrinkage Estimation to Minimax Shrinkage Prediction." Statistical Science 27, no. 1 (February 2012): 82–94. http://dx.doi.org/10.1214/11-sts383.

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Dissertations / Theses on the topic "Minimax"

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Läuter, Henning. "Empirical Minimax Linear Estimates." Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2011/4948/.

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Göransson, Marcus Östergren. "Minimax Based Kalaha AI." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-5333.

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To construct an algorithm which does well in a board game, one must take into account the time spent on each move and the ability to evaluate the state of the board. There are multiple ways to handle these issues, but only a few are covered in this analysis. AIs using the algorithms minimax, minimax with alpha-beta pruning and minimax with knowledge-based alpha-beta pruning are being compared when playing Kalaha with a 30 second time limit per move. Each algorithm is in addition paired up with two different methods of evaluating the games state. The first one only compares the amount of counters in each players store, while the second, knowledge-based method, extends this with an evaluation of the counters in play. A tournament was held between the AIs where each match-up played twelve games against each other. The regular minimax algorithm is appearing to be inferior to the improved variations. The knowledge-based alpha-beta pruning is unexpectedly unsuccessful in outperforming the regular alpha-beta pruning and a discussion covers possible errors with the implementation and possible improvements. The knowledge-based evaluation method is appearing to be slightly more successful than the simple variant, but a discussion questions the real usefulness of it when paired with more advanced search algorithms than the ones covered in this study.
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Gayraud, Ghislaine. "Estimation minimax de fonctionnelles du support de la densite et tests minimax associes." Paris 6, 1997. http://www.theses.fr/1997PA066084.

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Premierement, on considere l'estimation de fonctionnelles du support de densite g, a partir de n vecteurs aleatoires x#1,. . . , x#n, n-dimensionnels independants et identiquement distribues admettant une densite de probabilite f. On suppose que le support g est un ensemble inconnu inclu dans 0,1#n, dont la mesure de lebesgue est differente de zero. De plus on suppose que g appartient soit a la classe des fragments notee g soit a la classe des ensembles convexes. En utilisant l'approche minimax asymptotique, on obtient des estimateurs optimaux des fonctionnelles au sens ou ils atteignent la vitesse de convergence minimax. Dans une seconde partie, on s'interesse a tester des hypotheses non-parametriques concernant le support g. En particulier on teste l'hypothese nulle que g est egal a g#0, ou g#0 est un ensemble connu appartenant a g, contre une alternative non-parametrique composee, que g appartient a une classe d'ensembles, obtenue en enlevant a g un voisinage autour de g#0. Le probleme est de determiner asymptotiquement la classe alternative optimale pour laquelle on est capable de tester l'hypothese nulle contre l'alternative en nous fixant une somme d'erreurs de probabilite a , (0,1). Le critere d'optimalite est donne par la theorie minimax.
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Park, Jeffrey. "Some Professionals Play Minimax: A Reexamination of the Minimax Theory in Major League Baseball." Scholarship @ Claremont, 2010. http://scholarship.claremont.edu/cmc_theses/31.

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This paper explores the behavior of Major League Baseball pitchers. We analyze the pitching data from 2007-2010 in order to determine whether their actions follow minimax play. We also examine what the OPS statistic tells us about a pitcher's value.
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Beal, Donald Francis. "The nature of minimax search." Maastricht : Maastricht : Universiteit Maastricht ; University Library, Maastricht University [Host], 1999. http://arno.unimaas.nl/show.cgi?fid=7528.

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Dimi, Jean-Luc. "La régression minimax non linéaire." Paris 6, 1987. http://www.theses.fr/1987PA066339.

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Dimi, Jean-Luc. "La Régression Minimax non linéaire." Grenoble 2 : ANRT, 1987. http://catalogue.bnf.fr/ark:/12148/cb37604699w.

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Nabney, Ian Thomas. "Soluble minimax groups and their representations." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333316.

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BRITO, Jacqueline Félix de. "Teoremas do tipo Minimax e aplicações." Universidade Federal de Campina Grande, 2005. http://dspace.sti.ufcg.edu.br:8080/jspui/handle/riufcg/1125.

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Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-07-09T17:18:20Z No. of bitstreams: 1 JACQUELINE FÉLIX DE BRITO - DISSERTAÇÃO PPGMAT 2005..pdf: 538695 bytes, checksum: cd410bf0dae8b3cd679e8abc8feef00b (MD5)
Made available in DSpace on 2018-07-09T17:18:20Z (GMT). No. of bitstreams: 1 JACQUELINE FÉLIX DE BRITO - DISSERTAÇÃO PPGMAT 2005..pdf: 538695 bytes, checksum: cd410bf0dae8b3cd679e8abc8feef00b (MD5) Previous issue date: 2005-12
Neste trabalho, mostramos a existência de soluções para a seguinte classe de problemas elípticos: (Para ver a formula ou equação recomendamos o download da dissertação). As principais ferramentas utilizadas são os Teoremas de Deformação, Passo da Montanha e Ponto de Sela.
In this work, we show the existence of solutions for the following class for elliptic problem: (To see the formula or equation we recommend downloading the dissertation). (To see the formula or equation we recommend downloading the dissertation).
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Mukherjee, Rajarshi. "Statistical Inference for High Dimensional Problems." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11516.

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In this dissertation, we study minimax hypothesis testing in high-dimensional regression against sparse alternatives and minimax estimation of average treatment effect in an semiparametric regression with possibly large number of covariates.
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Books on the topic "Minimax"

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Willem, Michel. Minimax Theorems. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-4146-1.

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Minimax theorems. Boston: Birkhäuser, 1996.

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Prior, Manfred. MiniMax-Interventionen: 15 minimale Interventionen mit maximaler Wirkung. 8th ed. Heidelberg: Carl-Auer-Systeme-Verl., 2009.

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Simons, Stephen. Minimax and Monotonicity. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0093633.

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Du, Ding-Zhu, and Panos M. Pardalos, eds. Minimax and Applications. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4613-3557-3.

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Minimax: A novel. Portland, Or: Eighth Mountain Press, 1991.

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Dingzhu, Du, and Pardalos P. M. 1954-, eds. Minimax and applications. Dordrecht: Kluwer Academic Publishers, 1995.

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Demʹi͡anov, V. F. Introduction to minimax. New York: Dover Publications, 1990.

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Dem'yanov, Vladimir Fedorovich. Introduction to minimax. New York: Dover, 1990.

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Ricceri, Biagio, and Stephen Simons, eds. Minimax Theory and Applications. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-015-9113-3.

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Book chapters on the topic "Minimax"

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Du, Ding-Zhu, Panos M. Pardalos, and Weili Wu. "Minimax." In Nonconvex Optimization and Its Applications, 167–85. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-5795-8_11.

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Stoye, Jörg. "Minimax." In The New Palgrave Dictionary of Economics, 8783–86. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2975.

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Stoye, Jörg. "Minimax." In The New Palgrave Dictionary of Economics, 1–4. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/978-1-349-95121-5_2975-1.

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Willem, Michel. "Introduction." In Minimax Theorems, 1–5. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-4146-1_1.

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Willem, Michel. "Mountain pass theorem." In Minimax Theorems, 7–36. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-4146-1_2.

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Willem, Michel. "Linking theorem." In Minimax Theorems, 37–53. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-4146-1_3.

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Willem, Michel. "Fountain theorem." In Minimax Theorems, 55–70. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-4146-1_4.

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Willem, Michel. "Nehari manifold." In Minimax Theorems, 71–80. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-4146-1_5.

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Willem, Michel. "Relative category." In Minimax Theorems, 81–94. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-4146-1_6.

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Willem, Michel. "Generalized linking theorem." In Minimax Theorems, 95–107. Boston, MA: Birkhäuser Boston, 1996. http://dx.doi.org/10.1007/978-1-4612-4146-1_7.

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Conference papers on the topic "Minimax"

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Shayovitz, Shachar, and Meir Feder. "Minimax Active Learning Via Minimal Model Capacity." In 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2019. http://dx.doi.org/10.1109/mlsp.2019.8918907.

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Sugita and Aikawa. "Minimax approximation of minimum phase FIR filters." In IEEE International Conference on Acoustics Speech and Signal Processing ICASSP-02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.1004859.

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Sugita, Yasunori, and Naoyuki Aikawa. "Minimax approximation of minimum phase FIR filters." In Proceedings of ICASSP '02. IEEE, 2002. http://dx.doi.org/10.1109/icassp.2002.5745598.

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Ritter, Gerhard X., and Peter Sussner. "Minimax eigenvalue transform." In San Diego '92, edited by Paul D. Gader, Edward R. Dougherty, and Jean C. Serra. SPIE, 1992. http://dx.doi.org/10.1117/12.60648.

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Yagli, Semih, Yucel Altug, and Sergio Verdu. "Minimax Rényi redundancy." In 2017 IEEE International Symposium on Information Theory (ISIT). IEEE, 2017. http://dx.doi.org/10.1109/isit.2017.8007076.

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Chakravorty, Suman, and David Hyland. "Minimax Reinforcement Learning." In AIAA Guidance, Navigation, and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-5718.

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Mahmood, Adeel, and Aaron B. Wagner. "Minimax Rate-Distortion." In 2022 IEEE International Symposium on Information Theory (ISIT). IEEE, 2022. http://dx.doi.org/10.1109/isit50566.2022.9834588.

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Gattami, Ather, and Bo Bernhardsson. "Minimax Team Decision Problems." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282858.

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He, Lirong, Ziyi Guo, Kaizhu Huang, and Zenglin Xu. "Deep Minimax Probability Machine." In 2019 International Conference on Data Mining Workshops (ICDMW). IEEE, 2019. http://dx.doi.org/10.1109/icdmw.2019.00127.

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Varshney, Kush R., and Lav R. Varshney. "Multilevel minimax hypothesis testing." In 2011 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2011. http://dx.doi.org/10.1109/ssp.2011.5967633.

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Reports on the topic "Minimax"

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Soanes, Royce W. Minimax Linear Splines. Fort Belvoir, VA: Defense Technical Information Center, February 1992. http://dx.doi.org/10.21236/ada248077.

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Geraniotis, E., and Y. A. Chau. On Minimax Robust Data Fusion. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada454730.

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Avron, Haim, Esmond Ng, and Sivan Toledo. A Generalized Courant-Fischer Minimax Theorem. Office of Scientific and Technical Information (OSTI), August 2008. http://dx.doi.org/10.2172/1165117.

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Pee, E. Y., and J. O. Royset. On Solving Large-Scale Finite Minimax Problems using Exponential Smoothing. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada518716.

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Manski, Charles. Adaptive Minimax-Regret Treatment Choice, With Application To Drug Approval. Cambridge, MA: National Bureau of Economic Research, August 2007. http://dx.doi.org/10.3386/w13312.

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Graham, Bryan, Fengshi Niu, and James Powell. Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression. Cambridge, MA: National Bureau of Economic Research, March 2021. http://dx.doi.org/10.3386/w28548.

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Liao, Han. New heuristic algorithm to improve the Minimax for Gomoku artificial intelligence. Ames (Iowa): Iowa State University, January 2019. http://dx.doi.org/10.31274/cc-20240624-1052.

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Bahri, Abbas, and Paul H. Rabinowitz. A Minimax Method for a Class of Hamiltonian Systems with Singular Potentials. Fort Belvoir, VA: Defense Technical Information Center, October 1987. http://dx.doi.org/10.21236/ada193478.

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Dailami, N., M. Bhaskara Rao, and K. Subramanyam. On the Selection of the Best Gamma Population. Determination of Minimax Sample Sizes. Fort Belvoir, VA: Defense Technical Information Center, November 1985. http://dx.doi.org/10.21236/ada166138.

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DeCanio, Stephen, Charles Manski, and Alan Sanstad. Minimax-Regret Climate Policy with Deep Uncertainty in Climate Modeling and Intergenerational Discounting. Cambridge, MA: National Bureau of Economic Research, February 2022. http://dx.doi.org/10.3386/w29716.

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