-
1
-
-
61449118957
-
Feasibility of using taxi dispatch system as probes for collecting traffic information
-
[CrossRef]
-
Liu, K.; Yamamoto, T.; Morikawa, T. Feasibility of using taxi dispatch system as probes for collecting traffic information. J. Intell. Transp. Syst. Technol. Plan. Oper. 2009, 13, 16-27. [CrossRef]
-
(2009)
J. Intell. Transp. Syst. Technol. Plan. Oper
, vol.13
, pp. 16-27
-
-
Liu, K.1
Yamamoto, T.2
Morikawa, T.3
-
2
-
-
84907024583
-
Travel time estimation of a path using sparse trajectories
-
New York, NY, USA, 24-27 August
-
Wang, Y.; Zheng, Y.; Xue, Y. Travel time estimation of a path using sparse trajectories. In Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA, 24-27 August 2014.
-
(2014)
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
-
Wang, Y.1
Zheng, Y.2
Xue, Y.3
-
3
-
-
84905052538
-
-
Ph.D Thesis, Jilin University, Jilin, China,. (in Chinese)
-
Li, J. Estimation and Prediction of Link Travel Time for Urban Trunk and Secondary Street. Ph.D. Thesis, Jilin University, Jilin, China, 2012. (in Chinese)
-
(2012)
Estimation and Prediction of Link Travel Time for Urban Trunk and Secondary Street
-
-
Li, J.1
-
4
-
-
84879018433
-
Real-time map matching algorithm based on low-sampling-rate probe vehicle data
-
Yao, E.J.; Zuo, T. Real-time map matching algorithm based on low-sampling-rate probe vehicle data. Beijing J. Beijing Univ. Technol. 2012, 39, 909-913.
-
(2012)
Beijing J. Beijing Univ. Technol
, vol.39
, pp. 909-913
-
-
Yao, E.J.1
Zuo, T.2
-
5
-
-
80054052524
-
Urban computing with taxicabs
-
Beijing, China, 17-21 September
-
Zheng, Y.; Liu, Y.; Yuan, J.; Xie, X. Urban computing with taxicabs. In Proceedings of the 13th International Conference on Ubiquitous Computing, Beijing, China, 17-21 September 2011.
-
(2011)
Proceedings of the 13th International Conference on Ubiquitous Computing
-
-
Zheng, Y.1
Liu, Y.2
Yuan, J.3
Xie, X.4
-
6
-
-
84988337434
-
U-Air: When urban air quality inference meets big data
-
Sydney, Australia, 10-13 August
-
Zheng, Y.; Liu, F.; Hsieh, H.P. U-Air: When urban air quality inference meets big data. In Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, Australia, 10-13 August 2013.
-
(2013)
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
-
-
Zheng, Y.1
Liu, F.2
Hsieh, H.P.3
-
7
-
-
79952736659
-
Real-time road traffic prediction with spatio-temporal correlations
-
[CrossRef]
-
Min,W.;Wynter, L. Real-time road traffic prediction with spatio-temporal correlations. Transp. Res. Part C Emerg. Technol. 2011, 19, 606-616. [CrossRef]
-
(2011)
Transp. Res. Part C Emerg. Technol
, Issue.19
, pp. 606-616
-
-
Min, W.1
Wynter, L.2
-
8
-
-
80052718938
-
A Bayesian dynamic linear model approach for real-time short-term freeway travel time prediction
-
[CrossRef]
-
Fei, X.; Lu, C.C.; Liu, K. A Bayesian dynamic linear model approach for real-time short-term freeway travel time prediction. Transp. Res. Part C Emerg. Technol. 2011, 19, 1306-1318. [CrossRef]
-
(2011)
Transp. Res. Part C Emerg. Technol
, vol.19
, pp. 1306-1318
-
-
Fei, X.1
Lu, C.C.2
Liu, K.3
-
9
-
-
84880340417
-
Efficient missing data imputing for traffic flow by considering temporal and spatial dependence
-
[CrossRef]
-
Li, L.; Li, Y.; Li, Z. Efficient missing data imputing for traffic flow by considering temporal and spatial dependence. Transp. Res. Part C Emerg. Technol. 2013, 34, 108-120. [CrossRef]
-
(2013)
Transp. Res. Part C Emerg. Technol
, vol.34
, pp. 108-120
-
-
Li, L.1
Li, Y.2
Li, Z.3
-
10
-
-
78651311179
-
Freeway travel time ground truth data collection using bluetooth sensors
-
[CrossRef]
-
Haghani, A.; Hamedi, M.; Sadabadi, K.F. Freeway travel time ground truth data collection using bluetooth sensors. J. Transp. Res. Board 2010, 2160, 60-68. [CrossRef]
-
(2010)
J. Transp. Res. Board
, vol.2160
, pp. 60-68
-
-
Haghani, A.1
Hamedi, M.2
Sadabadi, K.F.3
-
11
-
-
0032207514
-
Urban freeway traffic flow prediction: Application of seasonal autoregressive integrated moving average and exponential smoothing models
-
[CrossRef]
-
Williams, B.; Durvasula, P.; Brown, D. Urban freeway traffic flow prediction: Application of seasonal autoregressive integrated moving average and exponential smoothing models. Transp. Res. Rec. J. Transp. Res. Board 1998, 1644, 132-141. [CrossRef]
-
(1998)
Transp. Res. Rec. J. Transp. Res. Board
, vol.1644
, pp. 132-141
-
-
Williams, B.1
Durvasula, P.2
Brown, D.3
-
12
-
-
0031472064
-
Traffic flow forecasting: Comparison of modeling approaches
-
[CrossRef]
-
Smith, B.; Demetsky, M. Traffic flow forecasting: Comparison of modeling approaches. J. Transp. Eng. 1997, 123, 261-266. [CrossRef]
-
(1997)
J. Transp. Eng
, vol.123
, pp. 261-266
-
-
Smith, B.1
Demetsky, M.2
-
13
-
-
84873704499
-
Short-term traffic speed forecasting hybrid model based on Chaos-wavelet analysis-support vector machine theory
-
[CrossRef]
-
Wang, J.; Shi, Q. Short-term traffic speed forecasting hybrid model based on Chaos-wavelet analysis-support vector machine theory. Transp. Res. Part C Emerg. Technol. 2012, 27, 219-232. [CrossRef]
-
(2012)
Transp. Res. Part C Emerg. Technol
, vol.27
, pp. 219-232
-
-
Wang, J.1
Shi, Q.2
-
14
-
-
80155154044
-
Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks
-
[CrossRef]
-
Wei, Y.; Chen, M.C. Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks. Transp. Res. Part C Emerg. Technol. 2012, 21, 148-162. [CrossRef]
-
(2012)
Transp. Res. Part C Emerg. Technol
, vol.21
, pp. 148-162
-
-
Wei, Y.1
Chen, M.C.2
-
15
-
-
84883756128
-
Freeway travel-time estimation based on temporal-spatial queueing model
-
[CrossRef]
-
Li, L.; Chen, X.; Li, Z.; Zhang, L. Freeway travel-time estimation based on temporal-spatial queueing model. IEEE Trans. Intell. Transp. Syst. 2013, 14, 1536-1541. [CrossRef]
-
(2013)
IEEE Trans. Intell. Transp. Syst
, vol.14
, pp. 1536-1541
-
-
Li, L.1
Chen, X.2
Li, Z.3
Zhang, L.4
-
16
-
-
84902550168
-
A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model
-
[CrossRef]
-
Zhang, Y.; Zhang, Y.; Haghani, A. A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model. Transp. Res. Part C Emerg. Technol. 2014, 43, 65-78. [CrossRef]
-
(2014)
Transp. Res. Part C Emerg. Technol
, vol.43
, pp. 65-78
-
-
Zhang, Y.1
Zhang, Y.2
Haghani, A.3
-
17
-
-
52349091762
-
-
John Wiley & Sons: Hoboken, NJ, USA
-
Montgomery, D.C.; Jennings, C.L.; Kulahci, M. Introduction to Time Series Analysis and Forecasting; John Wiley & Sons: Hoboken, NJ, USA, 2015.
-
(2015)
Introduction to Time Series Analysis and Forecasting
-
-
Montgomery, D.C.1
Jennings, C.L.2
Kulahci, M.3
-
18
-
-
79956119798
-
Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm
-
[CrossRef]
-
Hong, W.C. Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm. Neurocomputing 2011, 74, 2096-2107. [CrossRef]
-
(2011)
Neurocomputing
, vol.74
, pp. 2096-2107
-
-
Hong, W.C.1
-
19
-
-
67949102009
-
Bayesian committee of neural networks to predict travel times with confidence intervals
-
[CrossRef]
-
Van Hinsbergen, C.; Van Lint, J.; Van Zuylen, H. Bayesian committee of neural networks to predict travel times with confidence intervals. Transp. Res. Part C Emerg. Technol. 2009, 17, 498-509. [CrossRef]
-
(2009)
Transp. Res. Part C Emerg. Technol
, vol.17
, pp. 498-509
-
-
Van Hinsbergen, C.1
Van Lint, J.2
Van Zuylen, H.3
-
20
-
-
84880355786
-
Dynamic data-driven local traffic state estimation and prediction
-
[CrossRef]
-
Antoniou, C.; Koutsopoulos, H.N.; Yannis, G. Dynamic data-driven local traffic state estimation and prediction. Transp. Res. Part C Emerg. Technol. 2013, 34, 89-107. [CrossRef]
-
(2013)
Transp. Res. Part C Emerg. Technol
, vol.34
, pp. 89-107
-
-
Antoniou, C.1
Koutsopoulos, H.N.2
Yannis, G.3
-
21
-
-
84902550333
-
Short-term traffic forecasting: Where we are and where we're going
-
[CrossRef]
-
Vlahogianni, E.I.; Karlaftis, M.G.; Golias, J.C. Short-term traffic forecasting: Where we are and where we're going. Transp. Res. Part C Emerg. Technol. 2014, 43, 3-19. [CrossRef]
-
(2014)
Transp. Res. Part C Emerg. Technol
, vol.43
, pp. 3-19
-
-
Vlahogianni, E.I.1
Karlaftis, M.G.2
Golias, J.C.3
-
23
-
-
79951746147
-
Predicting travel times with context-dependent random forests by modeling local and aggregate traffic flow
-
Sydney, Australia, 14-17 December
-
Hamner, B. Predicting travel times with context-dependent random forests by modeling local and aggregate traffic flow. In Proceedings of the ICDMW 2010, Sydney, Australia, 14-17 December 2010.
-
(2010)
Proceedings of the ICDMW 2010
-
-
Hamner, B.1
-
24
-
-
84255178460
-
Prediction of weather impacted airport capacity using ensemble learning
-
Sacramento, CA, USA, 25-29 September
-
Wang, Y. Prediction of weather impacted airport capacity using ensemble learning. In Proceedings of the Digital Avionics Systems Conference (DASC) 2011, Sacramento, CA, USA, 25-29 September 2011.
-
(2011)
Proceedings of the Digital Avionics Systems Conference (DASC) 2011
-
-
Wang, Y.1
-
25
-
-
84897136542
-
Application of stochastic gradient boosting technique to enhance reliability of real-time risk assessment
-
[CrossRef]
-
Ahmed, M.M.; Abdel-Aty, M. Application of stochastic gradient boosting technique to enhance reliability of real-time risk assessment. Transp. Res. Rec. J. Transp. Res. Board 2013, 2386, 26-34. [CrossRef]
-
(2013)
Transp. Res. Rec. J. Transp. Res. Board
, vol.2386
, pp. 26-34
-
-
Ahmed, M.M.1
Abdel-Aty, M.2
-
26
-
-
84888287177
-
Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees
-
[CrossRef] [PubMed]
-
Chung, Y.S. Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees. Accid. Anal. Prev. 2013, 61, 107-118. [CrossRef] [PubMed]
-
(2013)
Accid. Anal. Prev
, vol.61
, pp. 107-118
-
-
Chung, Y.S.1
-
27
-
-
84940461628
-
A gradient boosting method to improve travel time prediction
-
[CrossRef]
-
Zhang, Y.; Haghani, A. A gradient boosting method to improve travel time prediction. Transp. Res. Part C Emerg. Technol. 2015. [CrossRef]
-
(2015)
Transp. Res. Part C Emerg. Technol
-
-
Zhang, Y.1
Haghani, A.2
-
28
-
-
33748611921
-
Ensemble based systems in decision making
-
[CrossRef]
-
Polikar, R. Ensemble based systems in decision making. IEEE Circ. Syst. Mag. 2006, 6, 21-45. [CrossRef]
-
(2006)
IEEE Circ. Syst. Mag
, vol.6
, pp. 21-45
-
-
Polikar, R.1
-
29
-
-
77953196183
-
Semi-supervised random forests
-
Porto, Portugal, 27 February-1 March
-
Leistner, C.; Saffari, A.; Santner, J.; Bischof, H. Semi-supervised random forests. In Proceedings of the IEEE 12th International Conference on Computer Vision, Porto, Portugal, 27 February-1 March 2009.
-
(2009)
Proceedings of the IEEE 12th International Conference on Computer Vision
-
-
Leistner, C.1
Saffari, A.2
Santner, J.3
Bischof, H.4
-
30
-
-
72449170109
-
An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests
-
[CrossRef] [PubMed]
-
Strobl, C.; Malley, J.; Tutz, G. An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests. Psychol. Method. 2009, 14, 323-348. [CrossRef] [PubMed]
-
(2009)
Psychol. Method
, vol.14
, pp. 323-348
-
-
Strobl, C.1
Malley, J.2
Tutz, G.3
-
31
-
-
84959444571
-
Unsupervised learning
-
Springer: Berlin/Hamburg, Germany
-
Hastie, T.; Tibshirani, R.; Friedman, J. Unsupervised learning. In The Elements of Statistical Learning; Springer: Berlin/Hamburg, Germany, 2009; pp. 485-585.
-
(2009)
The Elements of Statistical Learning;
, pp. 485-585
-
-
Hastie, T.1
Tibshirani, R.2
Friedman, J.3
-
32
-
-
33744584654
-
Induction of decision trees
-
[CrossRef]
-
Quinlan, J.R. Induction of decision trees. Mach. Learn. 1986, 1, 81-106. [CrossRef]
-
(1986)
Mach. Learn
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
33
-
-
33750841084
-
A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem
-
[CrossRef]
-
Ruiz, R.; Stützle, T. A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem. Eur. J. Operat. Res. 2007, 177, 2033-2049. [CrossRef]
-
(2007)
Eur. J. Operat. Res
, vol.177
, pp. 2033-2049
-
-
Ruiz, R.1
Stützle, T.2
-
34
-
-
80555137399
-
-
Statistics Department University of California at Berkeley: Berkeley, CA, USA
-
Breiman, L. Arcing the Edge. Technical Report 486; Statistics Department, University of California at Berkeley: Berkeley, CA, USA, 1997.
-
(1997)
Arcing the Edge. Technical Report 486
-
-
Breiman, L.1
-
35
-
-
0035470889
-
Greedy function approximation: A gradient boosting machine
-
[CrossRef]
-
Friedman, J.H. Greedy function approximation: A gradient boosting machine. Annal. Stat. 2001, 1189-1232. [CrossRef]
-
(2001)
Annal. Stat
, pp. 1189-1232
-
-
Friedman, J.H.1
-
36
-
-
0037186544
-
Stochastic gradient boosting
-
[CrossRef]
-
Friedman, J.H. Stochastic gradient boosting. Comput. Stat. Data Anal. 2002, 38, 367-378. [CrossRef]
-
(2002)
Comput. Stat. Data Anal
, vol.38
, pp. 367-378
-
-
Friedman, J.H.1
-
37
-
-
0000034034
-
Boosting algorithms as gradient descent in function space
-
Denver, CO, USA, 29 November-4 December
-
Mason, L.; Baxter, J.; Bartlett, P.L.; Frean, M. Boosting algorithms as gradient descent in function space. In Proceedings of the NIPS 1999, Denver, CO, USA, 29 November-4 December 1999.
-
(1999)
Proceedings of the NIPS 1999
-
-
Mason, L.1
Baxter, J.2
Bartlett, P.L.3
Frean, M.4
-
38
-
-
84892667860
-
Gradient boosting machines a tutorial
-
[CrossRef] [PubMed]
-
Natekin, A.; Knoll, A. Gradient boosting machines, a tutorial. Front. Neurorobot. 2013. [CrossRef] [PubMed]
-
(2013)
Front. Neurorobot
-
-
Natekin, A.1
Knoll, A.2
-
39
-
-
0001546571
-
On the distribution of the correlation coefficient in small samples. Appendix II to the papers of" Student" and RA Fisher
-
Soper, H.E.; Young, A.W.; Cave, B.M.; Lee, A.; Pearson, K. On the distribution of the correlation coefficient in small samples. Appendix II to the papers of" Student" and RA Fisher. Biometrika 1917, 11, 328-413.
-
(1917)
Biometrika
, vol.11
, pp. 328-413
-
-
Soper, H.E.1
Young, A.W.2
Cave, B.M.3
Lee, A.4
Pearson, K.5
-
41
-
-
84921438905
-
A review of travel time estimation and forecasting for advanced traveller information systems
-
[CrossRef]
-
Mori, U.; Mendiburu, A.; Álvarez, M.; Lozano, J.A. A review of travel time estimation and forecasting for advanced traveller information systems. Transp. A Transp. Sci. 2015, 11, 119-157. [CrossRef]
-
(2015)
Transp. A Transp. Sci
, vol.11
, pp. 119-157
-
-
Mori, U.1
Mendiburu, A.2
Álvarez, M.3
Lozano, J.A.4
-
42
-
-
84861849465
-
Matching raw GPS measurements on a navigable map without computing a global position
-
[CrossRef]
-
Fouque, C.; Bonnifait, P. Matching raw GPS measurements on a navigable map without computing a global position. IEEE Trans. Intell. Transp. Syst. 2012, 13, 887-898. [CrossRef]
-
(2012)
IEEE Trans. Intell. Transp. Syst
, vol.13
, pp. 887-898
-
-
Fouque, C.1
Bonnifait, P.2
-
43
-
-
84888032041
-
Map-matching algorithm for large-scale low-frequency floating car data
-
[CrossRef]
-
Chen, B.Y.; Yuan, H.; Li, Q.; Lam, W.H.; Shaw, S.L.; Yan, K. Map-matching algorithm for large-scale low-frequency floating car data. Int. J. Geogr. Inf. Sci. 2014, 28, 22-38. [CrossRef]
-
(2014)
Int. J. Geogr. Inf. Sci
, vol.28
, pp. 22-38
-
-
Chen, B.Y.1
Yuan, H.2
Li, Q.3
Lam, W.H.4
Shaw, S.L.5
Yan, K.6
-
44
-
-
77955183487
-
An interactive-voting based map matching algorithm
-
Kansas City, MI, USA, 23-26 May
-
Yuan, J.; Zheng, Y.; Zhang, C.; Xie, X.; Sun, G.Z. An interactive-voting based map matching algorithm. In Proceedings of the Eleventh International Conference on Mobile Data Management, Kansas City, MI, USA, 23-26 May 2010.
-
(2010)
Proceedings of the Eleventh International Conference on Mobile Data Management
-
-
Yuan, J.1
Zheng, Y.2
Zhang, C.3
Xie, X.4
Sun, G.Z.5
-
45
-
-
84872542186
-
Automated matching urban road networks using probabilistic relaxation
-
Zhang, Y.; Yang, B.; Luan, X. Automated matching urban road networks using probabilistic relaxation. Acta Geod. Catogr. Sin. 2012, 41, 933-939.
-
(2012)
Acta Geod. Catogr. Sin
, vol.41
, pp. 933-939
-
-
Zhang, Y.1
Yang, B.2
Luan, X.3
-
46
-
-
84880968547
-
Flowing car data map-matching based on constrained shortest path algorithm
-
Li, Q.; Hu, B.; Yue, Y. Flowing car data map-matching based on constrained shortest path algorithm. Geomat. Inf. Sci. Wuhan Univ. 2013, 7, 805-808.
-
(2013)
Geomat. Inf. Sci. Wuhan Univ
, vol.7
, pp. 805-808
-
-
Li, Q.1
Hu, B.2
Yue, Y.3
-
47
-
-
77954876995
-
Individual vehicle travel-time estimation based on GPS data and analysis of vehicle running characteristics
-
(in Chinese)
-
Yu, D.X.; Gao, X.Y.; Yang, Z.S. Individual vehicle travel-time estimation based on GPS data and analysis of vehicle running characteristics. J. Jilin Univ. 2010, 40, 965-970. (in Chinese)
-
(2010)
J. Jilin Univ
, vol.40
, pp. 965-970
-
-
Yu, D.X.1
Gao, X.Y.2
Yang, Z.S.3
-
48
-
-
84994162011
-
Estimation of average link travel time using fuzzy C-mean
-
Dong, H.; Wu, F. Estimation of average link travel time using fuzzy C-mean. Bull. Sci. Technol. 2011, 27, 426-430.
-
(2011)
Bull. Sci. Technol
, vol.27
, pp. 426-430
-
-
Dong, H.1
Wu, F.2
-
49
-
-
70749083092
-
Comparison of link travel-time estimation methods based on GPS equipped floating car
-
(in Chinese)
-
Jiang, G.; Chang, A.; Zhang, W. Comparison of link travel-time estimation methods based on GPS equipped floating car. J. Jilin Univ. 2009, 39, 182-186. (in Chinese)
-
(2009)
J. Jilin Univ
, vol.39
, pp. 182-186
-
-
Jiang, G.1
Chang, A.2
Zhang, W.3
-
50
-
-
84866937714
-
Understanding intra-urban trip patterns from taxi trajectory data
-
[CrossRef]
-
Liu, Y.; Kang, C.; Gao, S.; Xiao, Y.; Tian, Y. Understanding intra-urban trip patterns from taxi trajectory data. J. Geogr. Syst. 2012, 14, 463-483. [CrossRef]
-
(2012)
J. Geogr. Syst
, vol.14
, pp. 463-483
-
-
Liu, Y.1
Kang, C.2
Gao, S.3
Xiao, Y.4
Tian, Y.5
-
51
-
-
84922600337
-
Revealing travel patterns and city structure with taxi trip data
-
[CrossRef]
-
Liu, X.; Gong, L.; Gong, Y.; Liu, Y. Revealing travel patterns and city structure with taxi trip data. J. Transp. Geogr. 2013, 43, 78-90. [CrossRef]
-
(2013)
J. Transp. Geogr
, vol.43
, pp. 78-90
-
-
Liu, X.1
Gong, L.2
Gong, Y.3
Liu, Y.4
-
52
-
-
85008957536
-
Analyzing urban human mobility patterns through a thematic model at a finer scale
-
[CrossRef]
-
Zhang, F.; Zhu, X.; Guo,W.; Ye, X.; Hu, T.; Huang, L. Analyzing urban human mobility patterns through a thematic model at a finer scale. ISPRS Int. J. Geo-Inf. 2016. [CrossRef]
-
(2016)
ISPRS Int. J. Geo-Inf
-
-
Zhang, F.1
Zhu, X.2
Guo, W.3
Ye, X.4
Hu, T.5
Huang, L.6
-
53
-
-
84983146127
-
What about people in pedestrian navigation?
-
[CrossRef]
-
Fang, Z.; Li, Q.; Shaw, S.L. What about people in pedestrian navigation? Geo-spat. Inf. Sci. 2015, 18, 135-150. [CrossRef]
-
(2015)
Geo-spat. Inf. Sci
, vol.18
, pp. 135-150
-
-
Fang, Z.1
Li, Q.2
Shaw, S.L.3
-
54
-
-
0035478854
-
Random forests
-
[CrossRef]
-
Breiman, L. Random forests. Machine Learn. 2001, 45, 5-32. [CrossRef]
-
(2001)
Machine Learn
, vol.45
, pp. 5-32
-
-
Breiman, L.1
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