-
1
-
-
0034288943
-
An application of rule-based forecasting to a situation lacking domain knowledge
-
M. Adya, J. Armstrong, F. Collopy and M. Kennedy, "An application of rule-based forecasting to a situation lacking domain knowledge, " International Journal of Forecasting 16 (4), 2001, pp. 477-484.
-
(2001)
International Journal of Forecasting
, vol.16
, Issue.4
, pp. 477-484
-
-
Adya, M.1
Armstrong, J.2
Collopy, F.3
Kennedy, M.4
-
2
-
-
0035315158
-
Automatic identification of time series features for rule-based forecasting
-
M. Adya, F. Collopy, J. Armstrong and M. Kennedy, "Automatic identification of time series features for rule-based forecasting," International Journal of Forecasting 17 (2), 2001, pp. 143-157.
-
(2001)
International Journal of Forecasting
, vol.17
, Issue.2
, pp. 143-157
-
-
Adya, M.1
Collopy, F.2
Armstrong, J.3
Kennedy, M.4
-
3
-
-
33747888847
-
Persistence in forecasting performance and conditional combination strategies
-
M. Aiolfi and A. Timmermann, "Persistence in Forecasting Performance and Conditional Combination Strategies," Journal of Econometrics 127 (1-2), 2006, pp. 31-53.
-
(2006)
Journal of Econometrics
, vol.127
, Issue.1-2
, pp. 31-53
-
-
Aiolfi, M.1
Timmermann, A.2
-
4
-
-
0031141263
-
Combining and selecting forecasting models using rule based induction
-
B. Arinze, S.-L. Kim and M. Anandarajan, "Combining and selecting forecasting models using rule based induction," Computers & Operations Research 24 (5), 1997, pp. 423-433.
-
(1997)
Computers & Operations Research
, vol.24
, Issue.5
, pp. 423-433
-
-
Arinze, B.1
Kim, S.-L.2
Anandarajan, M.3
-
6
-
-
0037361994
-
Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results
-
P. Brazdil, C. Soares and J. Pinto de Costa, "Ranking Learning Algorithms: Using IBL and meta-learning on accuracy and time results," Machine Learning 50 (3), 2003, pp. 251-277.
-
(2003)
Machine Learning
, vol.50
, Issue.3
, pp. 251-277
-
-
Brazdil, P.1
Soares, C.2
De Costa, J.P.3
-
7
-
-
0016522307
-
A bayesian approach to the linear combination of forecasts
-
D. Bunn, "A bayesian approach to the linear combination of forecasts," Operational Research Quarterly 26 (2), pp. 325-329.
-
Operational Research Quarterly
, vol.26
, Issue.2
, pp. 325-329
-
-
Bunn, D.1
-
8
-
-
0000167087
-
Rule-based forecasting: Development and validation of an expert systems approach to combining time series extrapolations
-
F. Collopy and S.J. Armstrong, "Rule-based forecasting: Development and validation of an expert systems approach to combining time series extrapolations," Management Science 38 (10), 1992, pp. 1394-1414.
-
(1992)
Management Science
, vol.38
, Issue.10
, pp. 1394-1414
-
-
Collopy, F.1
Armstrong, S.J.2
-
11
-
-
78549267748
-
-
Delft Center for Systems and Control, [Online], Available online, 13/06/
-
Delft Center for Systems and Control, "Matlab toolbox ARMASA[Online]". Available online: http://www.dcsc.tudelft.nl/Research/ Software[13/06/2007].
-
(2007)
Matlab Toolbox ARMASA
-
-
-
12
-
-
0037250419
-
Forecast combination and encompassing tests
-
Y. Fang, "Forecast combination and encompassing tests," International Journal of Forecasting 19 (1), 2003, pp. 87-94.
-
(2003)
International Journal of Forecasting
, vol.19
, Issue.1
, pp. 87-94
-
-
Fang, Y.1
-
13
-
-
1942456679
-
A novel method for determining the nature of time series
-
T. Gautama, D. Mandic and M. Van Hulle, "A novel method for determining the nature of time series," IEEE Transactions on Biomedical Engineering 51, 2004, pp/ 728-736.
-
(2004)
IEEE Transactions on Biomedical Engineering
, vol.51
, pp. 728-736
-
-
Gautama, T.1
Mandic, D.2
Van Hulle, M.3
-
14
-
-
67649359699
-
Forecasting with unobserved components time series models
-
G. Elliott, C. Granger and A. Timmermann (Eds.) Elsevier
-
A. Harvey, "Forecasting with unobserved components time series models,", In: G. Elliott, C. Granger and A. Timmermann (Eds.), "Handbook of Economic Forecasting," Elsevier, 2006, pp. 327-408.
-
(2006)
Handbook of Economic Forecasting
, pp. 327-408
-
-
Harvey, A.1
-
16
-
-
0000153354
-
Noemon: Design, implementaion and performance results of an intelligent assistant for classifier selection
-
A. Kalousi and T. Theoharis, "Noemon: design, implementaion and performance results of an intelligent assistant for classifier selection", Intelligent Data Analysis 5 (3), 1999, pp. 319-337.
-
(1999)
Intelligent Data Analysis
, vol.5
, Issue.3
, pp. 319-337
-
-
Kalousi, A.1
Theoharis, T.2
-
17
-
-
78549294776
-
On the benefit of using time series features for choosing a forecasting method
-
Porvoo, Finland
-
C. Lemke and B. Gabrys, "On the benefit of using time series features for choosing a forecasting method," Proc. European Symposium on Time Series Prediction, Porvoo, Finland, 2008, pp. 1-10.
-
(2008)
Proc. European Symposium on Time Series Prediction
, pp. 1-10
-
-
Lemke, C.1
Gabrys, B.2
-
19
-
-
0017846358
-
On a measure of a lack of fit in time series models
-
G. M. Ljung and G. E. P. Box, "On a Measure of a Lack of Fit in Time Series Models," Biometrika 65, 1978, pp. 297-303.
-
(1978)
Biometrika
, vol.65
, pp. 297-303
-
-
Ljung, G.M.1
Box, G.E.P.2
-
20
-
-
28344445821
-
Selection of time series forecasting models based on performance information
-
Kitakyushu, Japan
-
P. Maforte dos Santos, T. Ludermir and R. Cavalcante, "Selection of time series forecasting models based on performance information,"Proc. Fourth International Conference on Hybrid Intelligent Systems, Kitakyushu, Japan, 2004, pp. 366-371.
-
(2004)
Proc. Fourth International Conference on Hybrid Intelligent Systems
, pp. 366-371
-
-
Dos Santos, P.M.1
Ludermir, T.2
Cavalcante, R.3
-
21
-
-
0034288942
-
The M3-competition: Results, conclusions and implications
-
S. Makridakis and M. Hibon, "The M3-Competition: Results, Conclusions and Implications," International Journal of Forecasting, 16 (4), 2000, pp. 451-476.
-
(2000)
International Journal of Forecasting
, vol.16
, Issue.4
, pp. 451-476
-
-
Makridakis, S.1
Hibon, M.2
-
22
-
-
0011936429
-
Evidence for the selection of forecasting methods
-
N. Meade, "Evidence for the selection of forecasting methods," International Journal of Forecasting 6 (19), 2000, pp. 515-535.
-
(2000)
International Journal of Forecasting
, vol.6
, Issue.19
, pp. 515-535
-
-
Meade, N.1
-
23
-
-
0000209313
-
Experience with forecasting univariate time series and the combination of forecasts
-
P. Newbold and C. Granger, C., "Experience with forecasting univariate time series and the combination of forecasts," Journal of the Royal Statistical Society Series A (General) 137 (2)", 1974, pp. 131-165.
-
(1974)
Journal of the Royal Statistical Society Series A (General)
, vol.137
, Issue.2
, pp. 131-165
-
-
Newbold, P.1
Granger, C.2
-
24
-
-
0012862886
-
Commentaries on the M3-competition
-
K. Ord, "Commentaries on the M3-competition," International Journal of Forecasting 17, 2001, pp. 537-584.
-
(2001)
International Journal of Forecasting
, vol.17
, pp. 537-584
-
-
Ord, K.1
-
25
-
-
78549266755
-
-
Technical report, Institute of Statistical Science, Academia Sinica
-
J.-Y. Peng and J.A. D. Aston, "The ssm toolbox for matlab," Technical report, Institute of Statistical Science, Academia Sinica, 2007.
-
(2007)
The Ssm Toolbox for Matlab
-
-
Peng, J.-Y.1
Aston, J.D.A.2
-
26
-
-
22944486338
-
Using machine learning techniques to combine forecasting methods
-
Cairns, Australia
-
R. Prudencio and T. Ludermir, "Using machine learning techniques to combine forecasting methods," Proc. 17th Australian Joint Conference on Artificial Intelligence, Cairns, Australia, 2004, pp. 1122-1127.
-
(2004)
Proc. 17th Australian Joint Conference on Artificial Intelligence
, pp. 1122-1127
-
-
Prudencio, R.1
Ludermir, T.2
-
27
-
-
0142023273
-
Exponential smoothing with a damped multiplicative trend
-
J. W. Taylor, "Exponential smoothing with a damped multiplicative trend," International Journal of Forecasting 19 (4), 2003, pp. 715-725.
-
(2003)
International Journal of Forecasting
, vol.19
, Issue.4
, pp. 715-725
-
-
Taylor, J.W.1
-
28
-
-
0031537084
-
Model selection in univariate time series forecasting using discriminant analysis
-
C. Shah, "Model selection in univariate time series forecasting using discriminant analysis," International Journal of Forecasting 13 (4),1997, pp. 489-500.
-
(1997)
International Journal of Forecasting
, vol.13
, Issue.4
, pp. 489-500
-
-
Shah, C.1
-
29
-
-
67649372714
-
Forecast combinations
-
G. Elliott, C. Granger and A. Timmermann (Eds.), Elsevier
-
A. Timmermann, "Forecast combinations," In: G. Elliott, C. Granger and A. Timmermann (Eds.), "Handbook of Economic Forecasting," Elsevier, 2006, pp. 135-196.
-
(2006)
Handbook of Economic Forecasting
, pp. 135-196
-
-
Timmermann, A.1
-
30
-
-
0036791948
-
A perspective view and survey of metalearning
-
R. Vilalta and Y. Drissi, "A perspective view and survey of metalearning," Artificial Intelligence Review 18, 2002, pp. 77-95.
-
(2002)
Artificial Intelligence Review
, vol.18
, pp. 77-95
-
-
Vilalta, R.1
Drissi, Y.2
-
31
-
-
0030527289
-
Automatic feature identification and graphical support in rule-based forecasting: A comparison
-
R. Vokurka, B. Flores and S. Pearce, "Automatic feature identification and graphical support in rule-based forecasting: a comparison," International Journal of Forecasting 12 (4), 1996, pp. 495-512.
-
(1996)
International Journal of Forecasting
, vol.12
, Issue.4
, pp. 495-512
-
-
Vokurka, R.1
Flores, B.2
Pearce, S.3
-
32
-
-
67349267030
-
Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series
-
X. Wang, K. Smith-Miles and R. Hyndman, "Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series," Neurocomputing 72, 2009, pp. 2581-2594.
-
(2009)
Neurocomputing
, vol.72
, pp. 2581-2594
-
-
Wang, X.1
Smith-Miles, K.2
Hyndman, R.3
-
33
-
-
0003123930
-
Forecasting with artificial neural networks: The state of the art
-
G. Zhang, B. Patuwo and M. Hu, "Forecasting with artificial neural networks: The state of the art," International Journal of Forecasting 14 (1), 1998, pp. 35-62.
-
(1998)
International Journal of Forecasting
, vol.14
, Issue.1
, pp. 35-62
-
-
Zhang, G.1
Patuwo, B.2
Hu, M.3
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