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- W1528758445 abstract "The pre-image problem has to be solved during inference by most structured output predictors. For string kernels, this problem corresponds to finding the string associated to a given input. An algorithm capable of solving or finding good approximations to this problem would have many applications in computational biology and other fields. This work uses a recent result on combinatorial optimization of linear predictors based on string kernels to develop, for the pre-image, a low complexity upper bound valid for many string kernels. This upper bound is used with success in a branch and bound searching algorithm. Applications and results in the discovery of druggable peptides are presented and discussed." @default.
- W1528758445 created "2016-06-24" @default.
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- W1528758445 date "2014-12-03" @default.
- W1528758445 modified "2023-09-27" @default.
- W1528758445 title "On the String Kernel Pre-Image Problem with Applications in Drug Discovery." @default.
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