The paper presents an empirical comparison of different methods to fit the parameters of a MAP according to the quantities derived from three different real traces. The results indicate that for two of the three traces an adequate fitting with low order MAPs is possible whereas almost all approaches failed for the third trace. Apart form this the question for the best approach for fitting MAPs is still open although there seems to be a tendency that the most costly EM algorithms provide the best fitting results. © Springer-Verlag Berlin Heidelberg 2010.
CITATION STYLE
Kriege, J., & Buchholz, P. (2010). An empirical comparison of MAP fitting algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5987 LNCS, pp. 259–273). https://doi.org/10.1007/978-3-642-12104-3_20
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