-
1
-
-
0034288943
-
An application of rule-based forecasting to a situation lacking domain knowledge
-
Adya M., Armstrong J., Collopy F., Kennedy M. An application of rule-based forecasting to a situation lacking domain knowledge. International Journal of Forecasting 2000, 16(4):477-484.
-
(2000)
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
-
Adya M., Collopy F., Armstrong J., Kennedy M. Automatic identification of time series features for rule-based forecasting. International Journal of Forecasting 2001, 17(2):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
-
Aiolfi M., Timmermann A. Persistence in forecasting performance and conditional combination strategies. Journal of Econometrics 2006, 127(1-2):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
-
Arinze B., Kim S.-L., Anandarajan M. Combining and selecting forecasting models using rule based induction. Computers & Operations Research 1997, 24(5):423-433.
-
(1997)
Computers & Operations Research
, vol.24
, Issue.5
, pp. 423-433
-
-
Arinze, B.1
Kim, S.-L.2
Anandarajan, M.3
-
7
-
-
0037361994
-
Ranking learning algorithms: using IBL and meta-learning on accuracy and time results
-
Brazdil P., Soares C., Pinto de Costa J. Ranking learning algorithms: using IBL and meta-learning on accuracy and time results. Machine Learning 2003, 50(3):251-277.
-
(2003)
Machine Learning
, vol.50
, Issue.3
, pp. 251-277
-
-
Brazdil, P.1
Soares, C.2
Pinto de Costa, J.3
-
8
-
-
0030211964
-
Bagging predictors
-
Breiman L. Bagging predictors. Machine learning 1996, 24(2):123-140.
-
(1996)
Machine learning
, vol.24
, Issue.2
, pp. 123-140
-
-
Breiman, L.1
-
10
-
-
0016522307
-
A Bayesian approach to the linear combination of forecasts
-
Bunn D. A Bayesian approach to the linear combination of forecasts. Operational Research Quarterly 1975, 26(2):325-329.
-
(1975)
Operational Research Quarterly
, vol.26
, Issue.2
, pp. 325-329
-
-
Bunn, D.1
-
12
-
-
0000167087
-
Rule-based forecasting: development and validation of an expert systems approach to combining time series extrapolations
-
Collopy F., Armstrong S.J. Rule-based forecasting: development and validation of an expert systems approach to combining time series extrapolations. Management Science 1992, 38(10):1394-1414.
-
(1992)
Management Science
, vol.38
, Issue.10
, pp. 1394-1414
-
-
Collopy, F.1
Armstrong, S.J.2
-
13
-
-
77952552896
-
-
NN3 Forecasting Competition [Online]. Available online [02/06/2009].
-
S. Crone, 2006/2007, NN3 Forecasting Competition [Online]. Available online [02/06/2009]. http://www.neural-forecasting-competition.com/NN3/.
-
(2006)
-
-
Crone, S.1
-
14
-
-
77952552307
-
-
NN5 Forecasting Competition [Online]. Available online [02/06/2009].
-
S. Crone, 2008, NN5 Forecasting Competition [Online]. Available online [02/06/2009]. http://www.neural-forecasting-competition.com/NN5/.
-
(2008)
-
-
Crone, S.1
-
15
-
-
77952552811
-
-
Delft Center for Systems and Control. Matlab toolbox ARMASA [Online] [13/06/2007].
-
Delft Center for Systems and Control, 2007. Matlab toolbox ARMASA [Online] [13/06/2007]. http://www.dcsc.tudelft.nl/Research/Software.
-
(2007)
-
-
-
16
-
-
0039988139
-
Time series forecasting with neural networks: a comparative study using the air line data
-
Faraway J., Chatfield C. Time series forecasting with neural networks: a comparative study using the air line data. Applied Statistics 1998, 47(2):231-250.
-
(1998)
Applied Statistics
, vol.47
, Issue.2
, pp. 231-250
-
-
Faraway, J.1
Chatfield, C.2
-
17
-
-
0031211090
-
A decision-theoretic generalization of on-line learning and an application to boosting
-
Freund Y., Schapire R.E. A decision-theoretic generalization of on-line learning and an application to boosting. The Journal of Computer and System Sciences 1997, 55(1):119-139.
-
(1997)
The Journal of Computer and System Sciences
, vol.55
, Issue.1
, pp. 119-139
-
-
Freund, Y.1
Schapire, R.E.2
-
18
-
-
10444224737
-
Classifier selection for majority voting
-
Gabrys B., Ruta D. Classifier selection for majority voting. Information Fusion 2005, 6(1):63-81.
-
(2005)
Information Fusion
, vol.6
, Issue.1
, pp. 63-81
-
-
Gabrys, B.1
Ruta, D.2
-
19
-
-
84984477151
-
Exponential smoothing: the state of the art
-
Gardner E.S. Exponential smoothing: the state of the art. Journal of Forecasting 1985, 4(1):1-28.
-
(1985)
Journal of Forecasting
, vol.4
, Issue.1
, pp. 1-28
-
-
Gardner, E.S.1
-
20
-
-
33749523557
-
Exponential smoothing: the state of the art-part II
-
Gardner E.S. Exponential smoothing: the state of the art-part II. International Journal of Forecasting 2006, 22(4):637-666.
-
(2006)
International Journal of Forecasting
, vol.22
, Issue.4
, pp. 637-666
-
-
Gardner, E.S.1
-
22
-
-
67649359699
-
Forecasting with unobserved components time series models
-
Elsevier, North-Holland, Amsterdam, G. Elliott, C. Granger, A. Timmermann (Eds.)
-
Harvey A. Forecasting with unobserved components time series models. Handbook of Economic Forecasting 2006, 327-408. Elsevier, North-Holland, Amsterdam. G. Elliott, C. Granger, A. Timmermann (Eds.).
-
(2006)
Handbook of Economic Forecasting
, pp. 327-408
-
-
Harvey, A.1
-
24
-
-
38949170600
-
Simple robust averages of forecasts: some empirical results
-
Jose V.R.R., Winkler R.L. Simple robust averages of forecasts: some empirical results. International Journal of Forecasting 2008, 24(1):163-169.
-
(2008)
International Journal of Forecasting
, vol.24
, Issue.1
, pp. 163-169
-
-
Jose, V.R.R.1
Winkler, R.L.2
-
25
-
-
0000153354
-
Noemon: design, implementation and performance results of an intelligent assistant for classifier selection
-
Kalousis A., Theoharis T. Noemon: design, implementation and performance results of an intelligent assistant for classifier selection. Intelligent Data Analysis 1999, 5(3):319-337.
-
(1999)
Intelligent Data Analysis
, vol.5
, Issue.3
, pp. 319-337
-
-
Kalousis, A.1
Theoharis, T.2
-
26
-
-
77952551521
-
-
Time series prediction with multilayer perceptron, fir and elman neural networks, in: Proceedings of the World Congress on Neural Networks in San Diego, California.
-
T. Koskela, M. Lehtokangas, J. Saarinen, K. Kaski, Time series prediction with multilayer perceptron, fir and elman neural networks, in: Proceedings of the World Congress on Neural Networks in San Diego, California, 1996, pp. 491-496.
-
(1996)
, pp. 491-496
-
-
Koskela, T.1
Lehtokangas, M.2
Saarinen, J.3
Kaski, K.4
-
27
-
-
0037403516
-
Measures of diversity in classifier ensembles
-
Kuncheva L.I., Whitaker C.J. Measures of diversity in classifier ensembles. Machine Learning 2003, 51(2):181-207.
-
(2003)
Machine Learning
, vol.51
, Issue.2
, pp. 181-207
-
-
Kuncheva, L.I.1
Whitaker, C.J.2
-
28
-
-
77952554182
-
-
On the benefit of using time series features for choosing a forecasting method, in: Proceedings of the European Symposium on Time Series Prediction in Porvoo, Finland.
-
C. Lemke, B. Gabrys, On the benefit of using time series features for choosing a forecasting method, in: Proceedings of the European Symposium on Time Series Prediction in Porvoo, Finland, 2008, pp. 1-10.
-
(2008)
, pp. 1-10
-
-
Lemke, C.1
Gabrys, B.2
-
29
-
-
69849086682
-
-
Dynamic combination of forecasts generated by diversification procedures applied to forecasting of airline cancellations, in: Proceedings of the IEEE Symposium Series on Computational Intelligence in Nashville, USA.
-
C. Lemke, S. Riedel, B. Gabrys, Dynamic combination of forecasts generated by diversification procedures applied to forecasting of airline cancellations, in: Proceedings of the IEEE Symposium Series on Computational Intelligence in Nashville, USA, 2009, pp. 85-91.
-
(2009)
, pp. 85-91
-
-
Lemke, C.1
Riedel, S.2
Gabrys, B.3
-
30
-
-
77952542652
-
-
ESTSP 2008: Proceedings, Multiprint Oy/Otamedia.
-
A. Lendasse (Ed.), ESTSP 2008: Proceedings, Multiprint Oy/Otamedia, 2008.
-
(2008)
-
-
Lendasse, A.1
-
31
-
-
0033485370
-
Ensemble learning via negative correlation
-
Liu Y., Yao X. Ensemble learning via negative correlation. Neural Networks 1999, 12(10):1399-1404.
-
(1999)
Neural Networks
, vol.12
, Issue.10
, pp. 1399-1404
-
-
Liu, Y.1
Yao, X.2
-
32
-
-
28344445821
-
-
Selection of time series forecasting models based on performance information, in: Proceedings of the Fourth International Conference on Hybrid Intelligent Systems in Kitakyushu, Japan.
-
P. Maforte dos Santos, T. Ludermir, R. Cavalcante, Selection of time series forecasting models based on performance information, in: Proceedings of the Fourth International Conference on Hybrid Intelligent Systems in Kitakyushu, Japan, 2004, pp. 366-371.
-
(2004)
, pp. 366-371
-
-
Maforte dos Santos, P.1
Ludermir, T.2
Cavalcante, R.3
-
33
-
-
0034288942
-
The M3-competition: results, conclusions and implications
-
Makridakis S., Hibon M. The M3-competition: results, conclusions and implications. International Journal of Forecasting 2000, 16(4):451-476.
-
(2000)
International Journal of Forecasting
, vol.16
, Issue.4
, pp. 451-476
-
-
Makridakis, S.1
Hibon, M.2
-
37
-
-
0000278558
-
Exponential forecasting: some new variations
-
Pegels C. Exponential forecasting: some new variations. Management Science 1969, 15(5):311-315.
-
(1969)
Management Science
, vol.15
, Issue.5
, pp. 311-315
-
-
Pegels, C.1
-
38
-
-
77952551581
-
-
The ssm toolbox for matlab, Technical Report, Institute of Statistical Science, Academia Sinica.
-
J.Y. Peng, J.A.D. Aston, The ssm toolbox for matlab, Technical Report, Institute of Statistical Science, Academia Sinica, 2007. http://www.stat.sinica.edu.tw/jaston/software.html.
-
(2007)
-
-
Peng, J.Y.1
Aston, J.A.D.2
-
39
-
-
22944486338
-
-
Using machine learning techniques to combine forecasting methods, in: Proceedings of the 17th Australian Joint Conference on Artificial Intelligence in Cairns, Australia.
-
R. Prudencio, T. Ludermir, Using machine learning techniques to combine forecasting methods, in: Proceedings of the 17th Australian Joint Conference on Artificial Intelligence in Cairns, Australia, 2004, pp. 1122-1127.
-
(2004)
, pp. 1122-1127
-
-
Prudencio, R.1
Ludermir, T.2
-
40
-
-
10244243684
-
Meta-learning approaches to selecting time series models
-
Prudencio R.B., Ludermir T.B. Meta-learning approaches to selecting time series models. Neurocomputing 2004, 61:121-137.
-
(2004)
Neurocomputing
, vol.61
, pp. 121-137
-
-
Prudencio, R.B.1
Ludermir, T.B.2
-
41
-
-
0031537084
-
Model selection in univariate time series forecasting using discriminant analysis
-
Shah C. Model selection in univariate time series forecasting using discriminant analysis. International Journal of Forecasting 1997, 13(4):489-500.
-
(1997)
International Journal of Forecasting
, vol.13
, Issue.4
, pp. 489-500
-
-
Shah, C.1
-
42
-
-
0012675693
-
A comparison of linear and nonlinear univariate models for forecasting macroeconomic time series
-
Oxford University Press, Oxford, R. Engle, H. White (Eds.)
-
Stock J., Watson M. A comparison of linear and nonlinear univariate models for forecasting macroeconomic time series. Cointegration, Causality and Forecasting. A Festschrift in honour of Clive W.J. Granger 2001, 1-44. Oxford University Press, Oxford. R. Engle, H. White (Eds.).
-
(2001)
Cointegration, Causality and Forecasting. A Festschrift in honour of Clive W.J. Granger
, pp. 1-44
-
-
Stock, J.1
Watson, M.2
-
43
-
-
0142023273
-
Exponential smoothing with a damped multiplicative trend
-
Taylor J.W. Exponential smoothing with a damped multiplicative trend. International Journal of Forecasting 2003, 19(4):715-725.
-
(2003)
International Journal of Forecasting
, vol.19
, Issue.4
, pp. 715-725
-
-
Taylor, J.W.1
-
44
-
-
67649372714
-
Forecast combinations
-
Elsevier, G. Elliott, C. Granger, A. Timmermann (Eds.)
-
Timmermann A. Forecast combinations. Handbook of Economic Forecasting 2006, 135-196. Elsevier. G. Elliott, C. Granger, A. Timmermann (Eds.).
-
(2006)
Handbook of Economic Forecasting
, pp. 135-196
-
-
Timmermann, A.1
-
45
-
-
77952544497
-
-
University of Goettingen. TSTOOL software package for nonlinear time series analysis [online]. Available online [03/06/2009].
-
University of Goettingen, 2009. TSTOOL software package for nonlinear time series analysis [online]. Available online [03/06/2009]. http://www.dpi.physik.uni-goettingen.de/tstool/.
-
(2009)
-
-
-
47
-
-
0030527289
-
Automatic feature identification and graphical support in rule-based forecasting: a comparison
-
Vokurka R., Flores B., Pearce S. Automatic feature identification and graphical support in rule-based forecasting: a comparison. International Journal of Forecasting 1996, 12(4):495-512.
-
(1996)
International Journal of Forecasting
, vol.12
, Issue.4
, pp. 495-512
-
-
Vokurka, R.1
Flores, B.2
Pearce, S.3
-
48
-
-
67349267030
-
Rule induction for forecasting method selection: meta-learning the characteristics of univariate time series
-
Wang X., Smith-Miles K., Hyndman R. Rule induction for forecasting method selection: meta-learning the characteristics of univariate time series. Neurocomputing 2009, 72:2581-2594.
-
(2009)
Neurocomputing
, vol.72
, pp. 2581-2594
-
-
Wang, X.1
Smith-Miles, K.2
Hyndman, R.3
-
49
-
-
0000459353
-
The lack of a priori distinctions between learning algorithms
-
Wolpert D. The lack of a priori distinctions between learning algorithms. Neural Computation 1996, 8(7):1341-1390.
-
(1996)
Neural Computation
, vol.8
, Issue.7
, pp. 1341-1390
-
-
Wolpert, D.1
-
50
-
-
0003123930
-
Forecasting with artificial neural networks: the state of the art
-
Zhang G., Patuwo B., Hu M. Forecasting with artificial neural networks: the state of the art. International Journal of Forecasting 1998, 14(1):35-62.
-
(1998)
International Journal of Forecasting
, vol.14
, Issue.1
, pp. 35-62
-
-
Zhang, G.1
Patuwo, B.2
Hu, M.3
|