Forecasting Supply Chain Demand Using Machine Learning Algorithms - Distributed Artificial Intelligence, Agent Technology, and Collaborative Applications - page 361

Joachims, T. (1999). Making large-scale SVM learning practical. Advances in Kernel Methods - Sup-
port Vector Learning.
Kim, C. N., & McLeod, R. J. (1999). Expert, linear models, and nonlinear models of expert decision
making in bankruptcy prediction: A lens model analysis. Journal of Management Information Systems,
16 (1), 189-206.
Kimbrough, S. O., Wu, D. J., & Zhong, F. (2002). Computers play the beer game: Can artificial agents
manage supply chains? Decision Support Systems, 33 (3), 323.
Lambert, D. M., & Lalonde, B. J. (1976). Inventory carrying costs. Management Accounting, 58 (2),
31.
Landt, F. W. (1997). Stock price prediction using neural networks . Leiden University, Leiden, Nether-
lands.
Lee, H. L., Padmanabhan, V., & Whang, S. (1997a). The bullwhip effect in supply chains. Sloan Man-
agement Review, 38 (3), 93.
Lee, H. L., Padmanabhan, V., & Whang, S. (1997b). Information distortion in a supply chain: The bull-
whip effect. Management Science, 43 (4), 546.
MacKay, D. J. C. (1992). Bayesian interpolation. Neural Computation, 4 (3), 415-447.
Makridakis, S., Andersen, A., Carbone, R., & Fildes, R. (1982). The accuracy of extrapolation (time
series) methods: Results of a forecasting competition. Journal of Forecasting (pre-1986), 1 (2), 111.
Makridakis, S., Chatfield, C., Hibon, M., Lawrence, M., Mills, T., Ord, K., et al. (1993). The M2-competi-
tion: A real-time judgmentally based forecasting study. International Journal of Forecasting, 9 (1), 5.
Makridakis, S., & Hibon, M. (1979). Accuracy of forecasting: an empirical investigation (with discus-
sion). Journal of the Royal Statistical Society. Series A (General), 142 (2), 97-145.
Makridakis, S., & Hibon, M. (2000). The M3-competition: Results, conclusions and implications. In-
ternational Journal of Forecasting, 16 (4), 451.
Marquardt, D. W. (1963). An algorithm for least-squares estimation of nonlinear parameters. SIAM
Journal of Applied Mathematics, 11 , 431-441.
MathWorks, Inc. (2005a). Financial time series toolbox for use with MATLAB. Natick: MA: MathWorks
Inc.
MathWorks, Inc. (2005b). GARCH toolbox for use with MATLAB. Natick: MA: MathWorks Inc.
MathWorks, Inc. (2005c). Getting started with MATLAB. Natick: MA: MathWorks Inc.
MathWorks, Inc. (2005d). Neural network toolbox for use with MATLAB. Natick: MA: MathWorks
Inc.
MathWorks, Inc. (2005e). Optimization toolbox for use with MATLAB. Natick: MA: MathWorks Inc.