An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks | Paper Citation Record

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This paper cites Bhat, G.Y.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Bhat, G.Y

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This paper cites Hwang, H.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Hwang, H

Reference 2

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Unresolved cited work

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This paper cites van der Kam, M.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks van der Kam, M

Reference 4

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This paper cites Antonopoulos, T.L.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Antonopoulos, T.L

Reference 5

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This paper cites Nakai, V.von.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Nakai, V.von

Reference 6

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Unresolved cited work

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Unresolved cited work

Reference 8

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Observation 6fe9e82c-1658-42d0-a1e2-eb05e0f2e582 · outbound

This paper cites Train, Mixed logit, in: Discrete Choice Methods with Simulation, Cambridge University Press, 2003, pp.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Train, Mixed logit, in: Discrete Choice Methods with Simulation, Cambridge University Press, 2003, pp

Reference 9

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This paper cites Helveston, logitr: Fast estimation of multinomial and mixed logit models with preference space and willingness-to-pay space utility parameterizations, J.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Helveston, logitr: Fast estimation of multinomial and mixed logit models with preference space and willingness-to-pay space utility parameterizations, J

Reference 10

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This paper cites Train, Discrete Choice Methods with Simulation, Cambridge University Press, 2009.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Train, Discrete Choice Methods with Simulation, Cambridge University Press, 2009

Reference 11

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This paper cites Jagabathula, P.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Jagabathula, P

Reference 12

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This paper cites Davis, C.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Davis, C

Reference 13

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This paper cites Tenenbaum, C.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Tenenbaum, C

Reference 14

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This paper cites Funk, Modeling Expert Choice At the Technical Frontier (Ph.D.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Funk, Modeling Expert Choice At the Technical Frontier (Ph.D

Reference 15

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This paper cites Bishop, Pattern recognition and machine learning, 2006, https://link.springer.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Bishop, Pattern recognition and machine learning, 2006, https://link.springer

Reference 16

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This paper cites De La Maza, A.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks De La Maza, A

Reference 17

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This paper cites Sergi, A.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Sergi, A

Reference 18

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This paper cites Sergi, I.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Sergi, I

Reference 19

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This paper cites Berchi, G.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Berchi, G

Reference 20

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This paper cites Gillette, J.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Gillette, J

Reference 21

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This paper cites Lagarde, D.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Lagarde, D

Reference 22

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This paper cites Nouwens, S.M.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Nouwens, S.M

Reference 23

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This paper cites Mahpour, A.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Mahpour, A

Reference 24

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This paper cites Püschel, L.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Püschel, L

Reference 25

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This paper cites Vitins, A.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Vitins, A

Reference 26

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This paper cites Ahmed, M.G.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Ahmed, M.G

Reference 27

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This paper cites Sergi, A.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Sergi, A

Reference 28

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Luce, The choice axiom after twenty years, J

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Unresolved cited work

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Marschak, Binary choice constraints on random utility indicators, 1959

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks 1, 1986, pp

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Coombs, On the use of inconsistency of preferences in psychological measurement, J

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Tversky, Intransitivity of preferences, Psychol Rev 76 (1969) 31–48, http: //dx.doi.org/10.1037/h0026750

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This paper cites Busemeyer, J.T.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Busemeyer, J.T

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This paper cites Hancock, S.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Hancock, S

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This paper cites Roe, J.R.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Roe, J.R

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Evans, W.R

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This paper cites Evans, J.S.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Evans, J.S

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This paper cites Trueblood, S.D.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Trueblood, S.D

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Trueblood, A

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Davis, 19-786: Foundations, 2021

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks McFadden, Conditional logit analysis of qualitative choice behavior, Front

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks McFadden, Modelling the choice of residential location, 1977

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This paper cites Discrete-Choice Model with Generalized Additive Utility Network.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Discrete-Choice Model with Generalized Additive Utility Network

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Wood, Generalized Additive Models: An Introduction with R, second ed., Chapman and Hall/CRC, 2017, http://dx.doi.org/10.1201/9781315370279

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Friedman, T

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Hastie, R

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Bromley, I

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Chicco, Siamese neural networks: An overview, in: H

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Chopra, R

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Arentze, H.J.P

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Arentze, H

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Machine Learning Meets Microeconomics: The Case of Decision Trees and Discrete Choice

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Chen, Estimating Discrete Choice Models with Random Forests, Springer, 2021

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Unresolved cited work

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Meena, D

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Unresolved cited work

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Houlsby, F

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Rasmussen, C.K.I

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Unresolved cited work

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This paper cites Plonsky, I.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Plonsky, I

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Predicting human decisions with behavioral theories and machine learning

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Peterson, D.D

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Morris, I.R

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Blavatskyy, Fechner’s strong utility model for choice among 𝑛 > 2 alternatives: risky lotteries, savage acts, and intertemporal payoffs, J

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This paper cites McFadden, Measuring willingness-to-pay for transportation improvements, in: Theoretical Foundations of Travel Choice Modeling, Elsevier, 1998, pp.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks McFadden, Measuring willingness-to-pay for transportation improvements, in: Theoretical Foundations of Travel Choice Modeling, Elsevier, 1998, pp

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This paper cites Ratcliff, G.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Ratcliff, G

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Davis, 19-786: Fast introduction, 2021

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Hastie, R

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Unresolved cited work

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This paper cites Retrieved November 30 2022, from https://autonomio.github.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Retrieved November 30 2022, from https://autonomio.github

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This paper cites Schwarz, Estimating the dimension of a model, Ann.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Schwarz, Estimating the dimension of a model, Ann

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Observation cb174de3-a4f4-405d-a0b5-473ab71f8dc9 · outbound

This paper cites Emergent Geometries from the BMN Matrix Model.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Emergent Geometries from the BMN Matrix Model

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An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Umutoni, V

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This paper cites Athey, G.W.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Athey, G.W

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This paper cites Mperejekumana, H.

An analysis of machine learning approaches for enhancing decision-making in complex discrete choice tasks Mperejekumana, H

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