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Статті в журналах з теми "Fairness constraints"
Detassis, Fabrizio, Michele Lombardi, and Michela Milano. "Teaching the Old Dog New Tricks: Supervised Learning with Constraints." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 5 (May 18, 2021): 3742–49. http://dx.doi.org/10.1609/aaai.v35i5.16491.
Повний текст джерелаBen-Porat, Omer, Fedor Sandomirskiy, and Moshe Tennenholtz. "Protecting the Protected Group: Circumventing Harmful Fairness." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 6 (May 18, 2021): 5176–84. http://dx.doi.org/10.1609/aaai.v35i6.16654.
Повний текст джерелаLi, Fengjiao, Jia Liu, and Bo Ji. "Combinatorial Sleeping Bandits With Fairness Constraints." IEEE Transactions on Network Science and Engineering 7, no. 3 (July 1, 2020): 1799–813. http://dx.doi.org/10.1109/tnse.2019.2954310.
Повний текст джерелаPi, Jiancai. "Fairness compatibility constraints and collective actions." Frontiers of Economics in China 2, no. 4 (October 2007): 644–52. http://dx.doi.org/10.1007/s11459-007-0033-x.
Повний текст джерелаVukadinović, Vladimir, and Gunnar Karlsson. "Multicast scheduling with resource fairness constraints." Wireless Networks 15, no. 5 (December 19, 2007): 571–83. http://dx.doi.org/10.1007/s11276-007-0085-y.
Повний текст джерелаWang, Xiao Fei, Xi Zhang, Yue Bing Chen, Lei Zhang, and Chao Jing Tang. "Spectrum Assignment Algorithm Based on Clonal Selection in Cognitive Radio Networks." Advanced Materials Research 457-458 (January 2012): 931–39. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.931.
Повний текст джерелаPiron, Robert, and Luis Fernandez. "Are fairness constraints on profit-seeking important?" Journal of Economic Psychology 16, no. 1 (March 1995): 73–96. http://dx.doi.org/10.1016/0167-4870(94)00037-b.
Повний текст джерелаZheng, Jiping, Yuan Ma, Wei Ma, Yanhao Wang, and Xiaoyang Wang. "Happiness maximizing sets under group fairness constraints." Proceedings of the VLDB Endowment 16, no. 2 (October 2022): 291–303. http://dx.doi.org/10.14778/3565816.3565830.
Повний текст джерелаHeaton, Stephen. "FINALITY OR FAIRNESS?" Cambridge Law Journal 73, no. 3 (November 2014): 477–80. http://dx.doi.org/10.1017/s0008197314000919.
Повний текст джерелаTan, Xianghua, Shasha Wang, Weili Zeng, and Zhibin Quan. "A Collaborative Optimization Method of Flight Slots Considering Fairness Among Airports." Mathematical Problems in Engineering 2022 (September 10, 2022): 1–18. http://dx.doi.org/10.1155/2022/1418911.
Повний текст джерелаДисертації з теми "Fairness constraints"
Chandramouli, Shyam Sundar. "Network Resource Allocation Under Fairness Constraints." Thesis, 2014. https://doi.org/10.7916/D8S46Q3V.
Повний текст джерелаSyu, Wun-Hao, and 徐文壕. "Maximizing Sum Capacity with Fairness Constraints in Multiuser OFDM Systems." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/54942351988603148574.
Повний текст джерела國立中正大學
通訊工程研究所
95
Multiuser orthogonal frequency division multiplexing (Multiuser OFDM) is a promising technique for achieving high downlink capacities in future cellular and wireless local area network (LAN) systems. Achieving high sum capacity under proportional fairness constraints is a popular research topic. The sum capacity of multiuser OFDM is maximized when each subchannel is assigned to the user with the best channel-to-noise ratio for that subchannel, with power subsequently distributed by water-filling. Under proportional fairness constraints, the sum capacity is maximized in [14]. In this paper, we present two resource allocation algorithms in multiuser OFDM systems that achieve higher sum capacity with variable proportional fairness constraints than [14]. The proposed optimization problem considers maximizing the sum capacity while maintaining proportional fairness among users for each channel realization. However, good proportional fairness reduces the sum capacity. There is a tradeoff between sum capacity and fairness deviation. Hence, the proposed suboptimal algorithms are created to increase sum capacity without causing too much fairness deviation. In these suboptimal algorithms, subchannel and power allocation are carried out separately. We use a simple method to determine the total transmit power for each user. This method is easy to implement. Simulation results show that the proposed algorithms achieve higher sum capacity than [14] and keep almost the same proportional fairness among users when data rate requirements are large enough. We show that fairness efficiency of our proposed algorithms is over three times better than [11] while maintaining almost the same proportional fairness among users for high date rate requirements. In addition, we also propose an algorithm which releases fairness deviation among users in order to achieve high capacity.
Yen, Pei Ru, and 顏珮儒. "Short Sales Constraint, Price Discovery, Market Efficiency and Fairness-Taiwan Top50 Tracker Fund." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/69459538212700444514.
Повний текст джерела國立政治大學
財務管理研究所
95
To some extent, almost all stock markets locate short-sell constraints on the short selling transactions process; however, they never do so to ETF thanks to its higher transparency and liquidity making it an easy supervised equity. Further, ETF could be considered as a good implication for the stock market simply owing to its exemption from short sell constraints that brings a strong demand and supply structure In other words, if the ETF price is not equal to its fund NAV (net asset value), investors could make profits by buying back or selling ETFs; in the long run, the price will reverse to its NAV and maintain on a reasonable level. As a result, we could infer that if the price could fully reflect investors’ diversified opinions, the market will be more efficient, and we could expect Taiwan stock market to forge ahead soon. Hence, the key issue lies in a healthy short selling mechanism. This paper tries to figure out whether short sell constraints on Taiwan stock market have significant influence on stock price and price efficiency. We use Taiwan50 index and TW50 ETF daily and intraday data from TEJ database, employee Event Study Method, select two dates as our event date which are “the listed date for TW50 ETF,” and “Taiwan 50 stocks exemption from short selling regulations,” and try to examine the difference before and after the date. Additionally, by summarizing and analyzing the trading frequency changes before or after the periods, we try to understand and estimate how the short sellers trading behavior would vary due to the implementation of regulation.
Silva, Frederico João Sousa da. "As isenções de IMI e de IMT nos conjuntos de prédios classificados como monumentos nacionais, de interesse público e de interesse municipal : uma questão de (in)coerência." Master's thesis, 2017. http://hdl.handle.net/10400.14/23805.
Повний текст джерелаIn order to pursue the public interest the State may use its power of authority to impose on its citizens a particular behaviour or its omission. The protection and enhancement of the Portuguese cultural heritage, which is constituted at the same time by the Portuguese language, Jerónimos Monastery in Lisbon and the viniculture on Ilha do Pico, is a matter of public interest and therefor arises as one of the Portuguese State’s fundamental tasks. In this endeavour, our focus was to identify and to understand what kind of legal instruments did the legislator use to protect and enhance the Portuguese Cultural heritage with private individuals. Public administrative constraints will thus play a prominent role in this work. Though the prior awareness of these public administrative legal measures is merely instrumental it proved to be fundamental to gain a broader and better informed perception about the legality and the constitutionality of the tax treatment that is given to the Portuguese cultural heritage. In this context it was given particular emphasis to the analysis of the scope of tax exemptions in place from the municipal property tax and the municipal property transfer tax on buildings listed as monuments, groups of buildings and sites. Through the establishment of tax relief measures and within the scope of Cultural Heritage Law, Tax Law plays its role on enhancing and protecting cultural heritage. Thus, the ultimate objective of this endeavour is to understand how these tax relief measures are applied and, essentially, assess if they are equally, fairly, and proportionally applied.
Du, Plessis Hanri Magdalena. "The harmonisation of good faith and ubuntu in the South African common law of contract." Thesis, 2017. http://hdl.handle.net/10500/23606.
Повний текст джерелаPrivate Law
LL. D.
Nikjah, Reza. "Performance evaluation and protocol design of fixed-rate and rateless coded relaying networks." Phd thesis, 2010. http://hdl.handle.net/10048/1674.
Повний текст джерелаCommunications
Книги з теми "Fairness constraints"
Chandramouli, Shyam Sundar. Network Resource Allocation Under Fairness Constraints. [New York, N.Y.?]: [publisher not identified], 2014.
Знайти повний текст джерелаAlex, Whiting. Part V Fairness and Expeditiousness of ICC Proceedings, 40 Disclosure Challenges at the ICC. Oxford University Press, 2015. http://dx.doi.org/10.1093/law/9780198705161.003.0040.
Повний текст джерелаTadros, Victor. To Do, To Die, To Reason Why. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198831549.001.0001.
Повний текст джерелаRetallack, James. The Struggle Against Revolution. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199668786.003.0005.
Повний текст джерелаKarim A A, Khan QC, and Buisman Caroline. Part V Fairness and Expeditiousness of ICC Proceedings, 41 Sitting on Evidence?: Systemic Failings in the ICC Disclosure Regime—Time for Reform. Oxford University Press, 2015. http://dx.doi.org/10.1093/law/9780198705161.003.0041.
Повний текст джерелаBartley, Tim. Rules without Rights. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198794332.001.0001.
Повний текст джерелаЧастини книг з теми "Fairness constraints"
Baier, Christel, Marcus Groesser, and Frank Ciesinski. "Quantitative Analysis under Fairness Constraints." In Automated Technology for Verification and Analysis, 135–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04761-9_12.
Повний текст джерелаAllen Emerson, E., and Chin-Laung Lei. "Temporal reasoning under generalized fairness constraints." In STACS 86, 21–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/3-540-16078-7_62.
Повний текст джерелаGullo, Francesco, Lucio La Cava, Domenico Mandaglio, and Andrea Tagarelli. "When Correlation Clustering Meets Fairness Constraints." In Discovery Science, 302–17. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-18840-4_22.
Повний текст джерелаPuhakka, Antti. "Using Fairness Constraints in Process-Algebraic Verification." In Theoretical Aspects of Computing – ICTAC 2005, 546–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11560647_36.
Повний текст джерелаDorleon, Ginel, Imen Megdiche, Nathalie Bricon-Souf, and Olivier Teste. "Feature Selection Under Fairness and Performance Constraints." In Big Data Analytics and Knowledge Discovery, 125–30. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-12670-3_11.
Повний текст джерелаJoung, Yuh-Jzer. "Localizability of Fairness Constraints and their Distributed Implementations." In CONCUR’99 Concurrency Theory, 336–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48320-9_24.
Повний текст джерелаXu, Ziqi, Jixue Liu, Debo Cheng, Jiuyong Li, Lin Liu, and Ke Wang. "Disentangled Representation with Causal Constraints for Counterfactual Fairness." In Advances in Knowledge Discovery and Data Mining, 471–82. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33374-3_37.
Повний текст джерелаWang, Jingbo, Yannan Li, and Chao Wang. "Synthesizing Fair Decision Trees via Iterative Constraint Solving." In Computer Aided Verification, 364–85. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13188-2_18.
Повний текст джерелаParaschakis, Dimitris, and Bengt J. Nilsson. "Matchmaking Under Fairness Constraints: A Speed Dating Case Study." In Communications in Computer and Information Science, 43–57. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52485-2_5.
Повний текст джерелаKrasanakis, Emmanouil, Symeon Papadopoulos, and Ioannis Kompatsiaris. "Applying Fairness Constraints on Graph Node Ranks Under Personalization Bias." In Complex Networks & Their Applications IX, 610–22. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65351-4_49.
Повний текст джерелаТези доповідей конференцій з теми "Fairness constraints"
Padala, Manisha, and Sujit Gujar. "FNNC: Achieving Fairness through Neural Networks." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/315.
Повний текст джерелаCelis, L. Elisa, Lingxiao Huang, Vijay Keswani, and Nisheeth K. Vishnoi. "Classification with Fairness Constraints." In FAT* '19: Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3287560.3287586.
Повний текст джерелаCelis, L. Elisa, Lingxiao Huang, and Nisheeth K. Vishnoi. "Multiwinner Voting with Fairness Constraints." 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.2018/20.
Повний текст джерелаCohen, Maxime C., Adam N. Elmachtoub, and Xiao Lei. "Price Discrimination with Fairness Constraints." In FAccT '21: 2021 ACM Conference on Fairness, Accountability, and Transparency. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3442188.3445864.
Повний текст джерелаDorleon, Ginel, Imen Megdiche, Nathalie Bricon-Souf, and Olivier Teste. "Feature selection under fairness constraints." In SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3477314.3507168.
Повний текст джерелаXu, Huanle, Yang Liu, Wing Cheong Lau, and Rui Li. "Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/354.
Повний текст джерелаKobren, Ari, Barna Saha, and Andrew McCallum. "Paper Matching with Local Fairness Constraints." In KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3292500.3330899.
Повний текст джерелаLi, Fengjiao, Jia Liu, and Bo Ji. "Combinatorial Sleeping Bandits with Fairness Constraints." In IEEE INFOCOM 2019 - IEEE Conference on Computer Communications. IEEE, 2019. http://dx.doi.org/10.1109/infocom.2019.8737461.
Повний текст джерелаXu, Weiting, Jie Hu, Shengdong Du, and Yan Yang. "K-Means Clustering with Fairness Constraints." In 2021 16th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). IEEE, 2021. http://dx.doi.org/10.1109/iske54062.2021.9755376.
Повний текст джерелаZeng, Yuchen, Hongxu Chen, and Kangwook Lee. "Federated Learning with Local Fairness Constraints." In 2023 IEEE International Symposium on Information Theory (ISIT). IEEE, 2023. http://dx.doi.org/10.1109/isit54713.2023.10206590.
Повний текст джерела