Abstract
A SOM based model combination strategy, allowing to create adaptive – data dependent – committees, is proposed. Both, models included into a committee and aggregation weights are specific for each input data point analyzed. The possibility to detect outliers is one more characteristic feature of the strategy.
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References
Taniguchi, M., Tresp, V.: Averaging Regularized Estimators. Neural Computation 9, 1163–1178 (1997)
Verikas, A., Lipnickas, A., Malmqvist, K., Bacauskiene, M., Gelzinis, A.: Soft Combination of Neural Classifiers: A Comparative Study. Pattern Recognition Letters 20, 429–444 (1999)
Gader, P.D., Mohamed, M.A., Keller, J.M.: Fusion of Handwritten Word Classifiers. Pattern Recognition Letters 17, 577–584 (1996)
Verikas, A., Lipnickas, A.: Fusing Neural Networks through Space Partitioning and Fuzzy Integration. Neural Processing Letters 16, 53–65 (2002)
Kittler, J., Hatef, M., Duin, R.P.W., Matas, J.: On Combining Classifiers. IEEE Trans Pattern Analysis and Machine Intelligence 20, 226–239 (1998)
Kim, S.P., Sanchez, J.C., Erdogmus, D., Rao, Y.N., Wessberg, J., Principe, J.C., Nicolelis, M.: Divide-and-conquer Approach for Brain Machine Interfaces: Nonlinear Mixture of Competitive Linear Models. Neural Networks 16, 865–871 (2003)
Woods, K., Kegelmeyer, W.P., Bowyer, K.: Combination of Multiple Classifiers Using Local Accuracy Estimates. IEEE Trans Pattern Analysis Machine Intelligence 19, 405–410 (1997)
Verikas, A., Lipnickas, A., Malmqvist, K.: Selecting Neural Networks for a Committee Decision. International Journal of Neural Systems 12, 351–361 (2002)
Kohonen, T.: Self-Organizing Maps, 3rd edn. Springer, Berlin (2001)
Griffith, N., Partridge, D.: Self-organizing Decomposition of Functions. In: Kittler, J., Roli, F. (eds.) MCS 2000. LNCS, vol. 1857, pp. 250–259. Springer, Heidelberg (2000)
Koskela, M., Laaksonen, J., Oja, E.: Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-organizing Maps. In: Dorronsoro, J.R. (ed.) ICANN 2002. LNCS, vol. 2415, pp. 981–986. Springer, Heidelberg (2002)
Hunt, R.W.G.: Measuring Colour. Fountain Press (1998)
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Englund, C., Verikas, A. (2005). A SOM Based Model Combination Strategy. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_73
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DOI: https://doi.org/10.1007/11427391_73
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25912-1
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