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Journal articles on the topic 'Unconstraining'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Guo, Peng, Baichun Xiao, and Jun Li. "Unconstraining Methods in Revenue Management Systems: Research Overview and Prospects." Advances in Operations Research 2012 (2012): 1–23. http://dx.doi.org/10.1155/2012/270910.

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Demand unconstrainingis one of the key techniques to the success of revenue management systems. This paper surveys the history of research on unconstraining methods and reviews over 130 references including the latest research works in the area. We discuss the relationship betweencensoreddata unconstraining and forecasting and review five alternative unconstraining approaches. These methods consider data unconstraining in various situations such as single-class, multi-class, and multi-flight. The paper also proposes some future research questions to bridge the gap between theory and applicatio

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2

Price, Ilan, Jaroslav Fowkes, and Daniel Hopman. "Gaussian processes for unconstraining demand." European Journal of Operational Research 275, no. 2 (2019): 621–34. http://dx.doi.org/10.1016/j.ejor.2018.11.065.

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3

Dantzig, Saskia van, René Zeelenberg, and Diane Pecher. "Unconstraining theories of embodied cognition." Journal of Experimental Social Psychology 45, no. 2 (2009): 345–51. http://dx.doi.org/10.1016/j.jesp.2008.11.001.

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4

Bai, Lihua, Yuan Ren, and Nazrul I. Shaikh. "Demand Estimation When There Are Unobservable Substitutions Amongst Choice Alternatives." International Journal of Information Systems and Supply Chain Management 12, no. 1 (2019): 51–65. http://dx.doi.org/10.4018/ijisscm.2019010103.

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Product stock-outs and the resultant purchase of substitutes by customer is common in retail. These stock-out lead to censored sales data; the observed demand for products with stock-outs could be lower that the true demand for the same while the observed demand for the substitutes could be inflated. If historical sales data is used to forecast future demand for a product without accounting for stock-outs, it could lead to errors in demand forecasting on account of misspecification. In this paper, we demonstrate the need and the benefits of data unconstraining and develop a data unconstraining

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5

Weatherford, Larry. "The history of unconstraining models in revenue management." Journal of Revenue and Pricing Management 15, no. 3-4 (2016): 222–28. http://dx.doi.org/10.1057/rpm.2016.10.

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6

Lee, JaeJune, Woojoo Lee, and Junghwan Kim. "A Regression based Unconstraining Demand Method in Revenue Management." Korean Journal of Applied Statistics 28, no. 3 (2015): 467–75. http://dx.doi.org/10.5351/kjas.2015.28.3.467.

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7

Karmarkar, Sandeep, Dutta Goutam, and Bandyopadhyay Tathagata. "Revenue impacts of demand unconstraining and accounting for dependency." Journal of Revenue and Pricing Management 10, no. 4 (2010): 367–81. http://dx.doi.org/10.1057/rpm.2009.54.

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8

Kourentzes, Nikolaos, Dong Li, and Arne K. Strauss. "Unconstraining methods for revenue management systems under small demand." Journal of Revenue and Pricing Management 18, no. 1 (2017): 27–41. http://dx.doi.org/10.1057/s41272-017-0117-x.

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9

Queenan, Carrie Crystal, Mark Ferguson, Jon Higbie, and Rohit Kapoor. "A Comparison of Unconstraining Methods to Improve Revenue Management Systems." Production and Operations Management 16, no. 6 (2009): 729–46. http://dx.doi.org/10.1111/j.1937-5956.2007.tb00292.x.

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10

Berto, Alessandra, and Stefano Gliozzi. "Unconstraining the Passenger Demand for Rail Yield Management at Trenitalia." Electronic Notes in Discrete Mathematics 69 (August 2018): 269–76. http://dx.doi.org/10.1016/j.endm.2018.07.035.

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11

Fridman, Gregory, and Maria Lapina. "Maximum likelihood approach for demand unconstraining problem with censoring information incompleteness." Journal of Revenue and Pricing Management 15, no. 1 (2015): 37–51. http://dx.doi.org/10.1057/rpm.2015.23.

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12

Ferguson, Mark, and Carrie Queenan. "Case—Starting with Good Inputs: Unconstraining Demand Data in Revenue Management." INFORMS Transactions on Education 9, no. 3 (2009): 182–83. http://dx.doi.org/10.1287/ited.1090.0032cs.

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13

Drabas, Tomasz, and Cheng-Lung Wu. "A market spill–recapture unconstraining model for estimating airline true demand." Journal of Revenue and Pricing Management 19, no. 1 (2019): 43–60. http://dx.doi.org/10.1057/s41272-018-00178-y.

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14

Ferguson, Mark, and Carrie Queenan. "Case Article—Starting with Good Inputs: Unconstraining Demand Data in Revenue Management." INFORMS Transactions on Education 9, no. 3 (2009): 180–81. http://dx.doi.org/10.1287/ited.1090.0032ca.

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15

Ferguson, Mark, and Carrie Queenan. "Teaching Note—Starting with Good Inputs: Unconstraining Demand Data in Revenue Management." INFORMS Transactions on Education 9, no. 3 (2009): 184–87. http://dx.doi.org/10.1287/ited.1090.0032tn.

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16

Shaoul, Yorai, Rishi Veerapaneni, Maxim Likhachev, and Jiaoyang Li. "Unconstraining Multi-Robot Manipulation: Enabling Arbitrary Constraints in ECBS with Bounded Sub-Optimality." Proceedings of the International Symposium on Combinatorial Search 17 (June 1, 2024): 109–17. http://dx.doi.org/10.1609/socs.v17i1.31548.

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Multi-Robot-Arm Motion Planning (M-RAMP) is a challenging problem featuring complex single-agent planning and multi-agent coordination. Recent advancements in extending the popular Conflict-Based Search (CBS) algorithm have made large strides in solving Multi-Agent Path Finding (MAPF) problems. However, fundamental challenges remain in applying CBS to M-RAMP. A core challenge is the existing reliance of the CBS framework on conservative "complete" constraints. These constraints ensure solution guarantees but often result in slow pruning of the search space -- causing repeated expensive single-

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17

Weatherford, Larry R. "Revenue maximization with implementation variations of unconstraining methods in a semi-restricted fare environment." Journal of Revenue and Pricing Management 12, no. 5 (2013): 431–50. http://dx.doi.org/10.1057/rpm.2013.8.

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18

Lieberman, Warren. "Improved Forecast Accuracy in Airline Revenue Management by Unconstraining Demand Estimates from Censored Data." Journal of Revenue and Pricing Management 2, no. 1 (2003): 83–85. http://dx.doi.org/10.1057/palgrave.rpm.5170052.

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19

Weatherford, Larry R. "Intelligent Aggressiveness: Using Forecast Multipliers, Hybrid Forecasting, Fare Adjustment, and Unconstraining Methods to Increase Revenue*." Decision Sciences 48, no. 3 (2016): 391–419. http://dx.doi.org/10.1111/deci.12228.

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20

Weatherford, L. R., and S. Pölt. "Better unconstraining of airline demand data in revenue management systems for improved forecast accuracy and greater revenues." Journal of Revenue and Pricing Management 1, no. 3 (2002): 234–54. http://dx.doi.org/10.1057/palgrave.rpm.5170027.

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21

Weatherford, Larry R. "Improved revenues from various unconstraining methods in a passenger origin-destination simulator (PODS) environment with semi-restricted fares." Journal of Revenue and Pricing Management 12, no. 1 (2012): 60–82. http://dx.doi.org/10.1057/rpm.2012.20.

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22

Weatherford, Larry R. "Intelligent aggressiveness: Combining forecast multipliers with various unconstraining methods to increase revenue in a global network with four airlines." Journal of Revenue and Pricing Management 14, no. 2 (2014): 84–96. http://dx.doi.org/10.1057/rpm.2014.36.

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23

Weatherford, Larry R. "Combining hybrid forecasting and fare adjustment with various unconstraining methods to maximize revenue in a global network with four airlines." Journal of Revenue and Pricing Management 13, no. 5 (2014): 388–401. http://dx.doi.org/10.1057/rpm.2014.18.

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24

Weatherford, Larry R. "Searching to maximize revenue in unrestricted and less-restricted competitive fare environments: Combining hybrid forecasting and fare adjustment with various unconstraining methods." Journal of Revenue and Pricing Management 12, no. 6 (2013): 524–50. http://dx.doi.org/10.1057/rpm.2013.21.

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25

Nikseresht, A., and K. Ziarati. "A Demand Estimation Algorithm for Inventory Management Systems Using Censored Data." Engineering, Technology & Applied Science Research 7, no. 6 (2017): 2215–21. https://doi.org/10.5281/zenodo.1118306.

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During the selling time horizon of a product category, a number of products may become unavailable sooner than others and the customers may substitute their desired product with another or leave the system without purchase. So, the recorded sales do not show the actual demand of each product. In this paper, a nonparametric algorithm to estimate true demand using censored data is proposed. A customer choice model is employed to model the demand and then a nonlinear least square method is used to estimate the demand model parameters without assuming any distribution on customer’s arrival.

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26

MANGHARAM, MUKTI LAKHI. "AN UNCONSTRAINING EMBRACE - The Cambridge History of South African Literature. Edited by David Attwell and Derek Attridge. Cambridge: Cambridge University Press, 2012. Pp. xvii+877. $180, hardback (isbn978-0-521-19928-5)." Journal of African History 54, no. 2 (2013): 301–2. http://dx.doi.org/10.1017/s0021853713000431.

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27

Popescu, Dana, and Benjamin Boatright. "Demand Unconstraining Methods." SSRN Electronic Journal, 2022. http://dx.doi.org/10.2139/ssrn.4261612.

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28

Englert, Christoph, Michael Spannowsky, David Stancato, and John Terning. "Unconstraining the unHiggs model." Physical Review D 85, no. 9 (2012). http://dx.doi.org/10.1103/physrevd.85.095003.

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29

Škurla Babić, Ružica, Maja Ozmec-Ban, and Jasmin Bajić. "EVALUATION OF UNCONSTRAINING METHODS IN AIRLINES’ REVENUE MANAGEMENT SYSTEMS." EMC Review - Časopis za ekonomiju - APEIRON 18, no. 2 (2020). http://dx.doi.org/10.7251/emc1902368b.

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Airline revenue management systems are used to calculate booking limits on each fare class to maximize expected revenue for all future flight departures. Their performance depends critically on the forecasting module that uses historical data to project future quantities of demand. Those data are censored or constrained by the imposed booking limits and do not represent true demand since rejected requests are not recorded. Eight unconstraining methods that transform the censored data into more accurate estimates of actual historical demand ranging from naive methods such as discarding all cens

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30

Rougier, Marine, and Jan De Houwer. "Unconstraining Evaluative Conditioning Research by Using the Reverse Correlation Task." Social Psychological and Personality Science, December 28, 2023. http://dx.doi.org/10.1177/19485506231217526.

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In the evaluative conditioning effect, pairing neutral stimuli (conditioned stimuli) with valenced stimuli (unconditioned stimuli) changes the evaluation of the former. We examined this effect with a reverse correlation task that assesses how participants visually remember the conditioned stimuli. Importantly, this measure (1) does not require participants to evaluate stimuli and (2) allows them to capture multiple trait attributions. In a pre-registered experiment with US Prolific Academic users, we observed an evaluative conditioning effect in both an evaluation task and a reverse correlatio

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31

Hayden, Robert M. "Borders and the Limits of Authority." Anthropology of East Europe Review 37, no. 1 (2021). http://dx.doi.org/10.14434/aeer.v37i1.33575.

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In this article I introduce a variety of social, political and economic collectivities to analyze ways in which their interactions are influenced by borders as the territorial delimitations of legal authority, or jurisdictions. The limits of authority within such collectivities are seen in the overlapping grants of authority that impact them. To the extent that borders delineate spheres of legitimate action by governments, they can be defensive of the rights of people within them as well as protective of the rights of governments to impinge on those same rights, or both simultaneously. Borders

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32

Staudte, Maria, Christine Ankener, Heiner Drenhaus, and Matthew W. Crocker. "Graded expectations in visually situated comprehension: Costs and benefits as indexed by the N400." Psychonomic Bulletin & Review, December 2, 2020. http://dx.doi.org/10.3758/s13423-020-01827-3.

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AbstractRecently, Ankener et al. (Frontiers in Psychology, 9, 2387, 2018) presented a visual world study which combined both attention and pupillary measures to demonstrate that anticipating a target results in lower effort to integrate that target (noun). However, they found no indication that the anticipatory processes themselves, i.e., the reduction of uncertainty about upcoming referents, results in processing effort (cf. Linzen and Jaeger, Cognitive Science, 40(6), 1382–1411, 2016). In contrast, Maess et al. (Frontiers in Human Neuroscience, 10, 1–11, 2016) found that more constraining ve

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33

Damásio, Bruno F., Felipe Valentini, Susana I. Núñes-Rodriguez, et al. "Is the General Self-Efficacy Scale a Reliable Measure to be used in Cross-Cultural Studies? Results from Brazil, Germany and Colombia." Spanish Journal of Psychology 19 (2016). http://dx.doi.org/10.1017/sjp.2016.30.

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AbstractThis study evaluated cross-cultural measurement invariance for the General Self-efficacy Scale (GSES) in a large Brazilian (N = 2.394) and representative German (N = 2.046) and Colombian (N = 1.500) samples. Initially, multiple-indicators multiple-causes (MIMIC) analyses showed that sex and age were biasing items responses on the total sample (2 and 10 items, respectively). After controlling for these two covariates, a multigroup confirmatory factor analysis (MGCFA) was employed. Configural invariance was attested. However, metric invariance was not supported for five items, in a total

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34

Jiang, Chengjie, and Ruth Filik. "Expecting the unexpected: Examining the interplay between real-world knowledge and contextual cues during language comprehension." Memory & Cognition, February 6, 2025. https://doi.org/10.3758/s13421-025-01689-x.

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Abstract Communication frequently involves discussions about real-world implausible events. Since most prior research used specific contextual cues to indicate a strong bias towards real-world knowledge violations, it remains unclear how real-world and contextual knowledge interact when the context is relatively unconstraining (e.g., dream scenarios), where both plausible and implausible information is supported. We investigated this issue using sentence completion (Experiment 1) and self-paced reading tasks (Experiment 2). Results of Experiment 1 showed that comprehenders were guided by the d

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35

Fernandez, Leigh B., Muzna Shehzad, and Lauren V. Hadley. "Effects of Hearing Loss on Semantic Prediction: Delayed Prediction for Intelligible Speech When Listening Is Demanding." Ear & Hearing, June 19, 2025. https://doi.org/10.1097/aud.0000000000001679.

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Objectives: Linguistic context can be used during speech listening to predict what a talker will say next. These predictions may be particularly useful in adverse listening conditions, since they can facilitate speech processing. In this study, we investigated the impact of postlingual hearing loss on prediction processes. Because hearing loss leads to a perceptual deficit (i.e., degraded auditory input), that can also have cognitive impacts (i.e., increased competition for cognitive resources due to increased listening effort), it is a naturalistic test case of how different sorts of challeng

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36

Liu, Huaipeng. "Effectiveness of the spectral area index created by three algorithms for tree species recognition." Annals of Forest Science 80, no. 1 (2023). http://dx.doi.org/10.1186/s13595-023-01184-w.

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Abstract Key message Tree species identification analysis of the two images (Luoyang and Hohhot of China) shows that the polygonal area indices extracted by the specific band-constrained polygon relative area (algorithm 3, obtained accuracy was ~ 13% higher than that of other algorithms in WorldView-3 and ~ 2% higher in WorldView-2) can effectively improve the classification accuracy of tree species compared to those with a constant polygon relative area constraint (algorithm 2) and without area constraint (algorithm 1) (equal accuracy was obtained by algorithms 1 and 2 in each data). Context

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