Combining statistical models for protein secondary structure prediction

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Abstract

We investigate the problem of combining experts to predict the secondary structure of globular proteins. We first present two different statistical models for this task. We then analyse an efficient linear combination technique, this sheds light on unexplained phenomena frequently encountered in practice for ensemble methods.

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Guermeur, Y., & Gallinari, P. (1996). Combining statistical models for protein secondary structure prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1112 LNCS, pp. 599–604). Springer Verlag. https://doi.org/10.1007/3-540-61510-5_102

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