Abstract
This project aims to investigate biologically inspired, logic-statistic models with constraints. The complexity and expressiveness of models with different kinds of constraints will be examined and algorithms to efficiently cope with inference in and training of such models will be explored. The models will be evaluated with regards to their applicability to biological sequence analysis. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Theil Have, C. (2009). Logic-statistic models with constraints for biological sequence analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5649 LNCS, pp. 549–550). https://doi.org/10.1007/978-3-642-02846-5_58
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