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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2607.28854.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.28854 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:36:09.544022Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

77 of 77 outbound references displayed

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External citation measurements

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Outbound references

Observation 8543b241-3157-457b-9e82-6466b138b289 · outbound

This paper cites Bhat, G.Y.

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

Reference 1

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Observation bcddce4e-c0c8-488f-827b-b4a69bd5fba0 · outbound

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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Observation 6f678e66-ab87-41a2-8cf1-47eeb891135c · outbound

This paper cites an unresolved cited work.

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

Reference 3

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Observation 038e4703-56a9-418a-8770-dc11b206134b · outbound

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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Observation 082f18d3-9741-42cd-9076-77c28e4eebef · outbound

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

Reference 7

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Observation f36e1ff6-003f-44dc-acff-c9c1a1a064bf · outbound

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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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Observation 97ced74a-91d4-4010-b4b5-1b940a213a2c · outbound

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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Observation 7acce389-cb15-4abe-8913-6b7ffb5a3641 · outbound

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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Observation 56f2dd21-48b2-4c87-9528-e7e92390a1f0 · outbound

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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Observation 765e5b6e-312e-4f6c-a38e-d2c441169f8b · outbound

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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Observation 3c5abea9-5948-416d-8b45-274b6da8fba1 · outbound

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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Observation 18bcbf2a-2908-4f4e-922a-0b582984b79f · outbound

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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Observation 06223f85-6f54-47b2-b44e-fb25c1495b16 · outbound

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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Observation bce514e6-eacc-450d-90d9-d226716e5c92 · outbound

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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Observation 0a3753e6-6474-4376-b6da-f82fa56b50b9 · outbound

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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Observation 25bae855-fa65-4f00-b824-d57fdc9fe8ca · outbound

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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Observation 260c4678-500e-4374-b4f6-71a2711c2937 · outbound

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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Observation 6576e703-3eee-4b43-bb48-fb2970ecdb52 · outbound

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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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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Observation 91846d88-6a08-41d7-9514-eb89a9feeb11 · outbound

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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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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This paper cites Luce, The choice axiom after twenty years, J.

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

Reference 29

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Observation 43b1c23f-2445-413c-a0b9-bc66d5dcc5a6 · outbound

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

Reference 30

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Observation 3941e720-cfbf-48a3-a86a-65b2f9cb96d3 · outbound

This paper cites Marschak, Binary choice constraints on random utility indicators, 1959.

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

Reference 31

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This paper cites 1, 1986, pp.

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

Reference 32

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Observation 5d521467-2da8-4db5-b976-5b0e06a3c96a · outbound

This paper cites Coombs, On the use of inconsistency of preferences in psychological measurement, J.

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

Reference 33

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This paper cites Tversky, Intransitivity of preferences, Psychol Rev 76 (1969) 31–48, http: //dx.doi.org/10.1037/h0026750.

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

Reference 34

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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

Reference 35

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Observation cd49f90a-c065-465b-9c92-af650a6456c4 · outbound

This paper cites Hancock, S.

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

Reference 36

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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

Reference 37

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Observation 6d80b276-21d3-42ea-b996-e5a8d41e44bc · outbound

This paper cites Evans, W.R.

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

Reference 38

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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

Reference 40

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Observation 61d2c3a6-7fd1-471d-a11c-2020fb6b2521 · outbound

This paper cites Trueblood, A.

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

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Observation 495347c0-0e18-49d4-9342-fe1e2a99dd86 · outbound

This paper cites Davis, 19-786: Foundations, 2021.

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

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Observation 15e8d2a5-0d42-4761-a37d-9b62cfdd0596 · outbound

This paper cites McFadden, Conditional logit analysis of qualitative choice behavior, Front.

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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This paper cites McFadden, Modelling the choice of residential location, 1977.

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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Observation 818755b9-df4e-4a1b-8018-60f2ecd2b2e2 · outbound

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

Reference 45

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This paper cites Wood, Generalized Additive Models: An Introduction with R, second ed., Chapman and Hall/CRC, 2017, http://dx.doi.org/10.1201/9781315370279.

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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Observation 75f680a6-f704-4612-8598-48915d35c94a · outbound

This paper cites Friedman, T.

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

Reference 47

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This paper cites Hastie, R.

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

Reference 48

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This paper cites Bromley, I.

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

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Observation 8c778d7c-1551-484b-a752-e22a85ecb9fa · outbound

This paper cites Chicco, Siamese neural networks: An overview, in: H.

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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This paper cites Chopra, R.

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

Reference 51

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This paper cites Arentze, H.J.P.

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

Reference 52

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This paper cites Arentze, H.

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

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Observation 23326487-2c3c-4d28-9396-f2c802952bc4 · outbound

This paper cites Machine Learning Meets Microeconomics: The Case of Decision Trees and Discrete Choice.

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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This paper cites Chen, Estimating Discrete Choice Models with Random Forests, Springer, 2021.

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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Observation 2e16d032-e210-4183-bf2c-df917d3ab802 · outbound

This paper cites Meena, D.

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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Observation a89085be-c444-47e0-828e-23abf9add232 · outbound

This paper cites Houlsby, F.

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

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This paper cites Rasmussen, C.K.I.

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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Observation b0e2573c-1b7d-4340-96ca-b09cdfd040db · outbound

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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Observation 22c0a5c3-d360-4d75-a4f6-eb900f3dee03 · outbound

This paper cites Predicting human decisions with behavioral theories and machine learning.

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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This paper cites Peterson, D.D.

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

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This paper cites Morris, I.R.

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

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Observation 54b7e866-ab1c-41c0-b3ab-6f0f6d33dffe · outbound

This paper cites Blavatskyy, Fechner’s strong utility model for choice among 𝑛 > 2 alternatives: risky lotteries, savage acts, and intertemporal payoffs, J.

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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Observation ce2d32c9-f58b-4c74-8bb1-28a599052e00 · outbound

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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Observation d1f349b6-6a18-4d40-9424-a120ee39d5a7 · outbound

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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Observation 29414ebe-3da4-4cda-8859-f917a2cd76df · outbound

This paper cites Davis, 19-786: Fast introduction, 2021.

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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Observation 490164a7-0295-47a0-9f9d-6fc24f3d0e63 · outbound

This paper cites Hastie, R.

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

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Observation 2f9ae537-2723-4bfb-a850-e88c44a6627e · outbound

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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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Observation b935abb1-1327-4859-b79e-c3800e7c213a · outbound

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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Observation 70410d25-64cd-427c-8fba-56c74a2b25b9 · outbound

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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Observation e9870b4c-760e-4fe2-9cbf-f5da23d372b5 · outbound

This paper cites Umutoni, V.

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

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Observation 8a64e7ce-a403-4b0c-86ea-df6eb1712898 · outbound

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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Observation b68ce2fc-dc2c-45fa-8625-fe83eec5d1b4 · outbound

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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Pith citing papers

No inbound Pith citation observations are available.