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Determining different mentions of chemical names from texts has a wide-spread application in real life. Chemical names are complex in nature and there exist several representations and nomenclatures (like SMILES, InChI, IUPAC) which create a big challenge to their automatic identification and classification. In this paper we present a feature selection approach for appropriate feature subset selection...
Feature selection, the process of removing irrelevant features can be extremely useful in reducing the dimensionality of the data to be processed, in reducing execution time and improving predictive accuracy of the classifier. Selecting the right set of features for classification is one of the most important problems in designing a good classifier. Feature selection methods can be decomposed into...
The paper proposes a methodology for predicting 3D structure of proteins using genetic algorithm. It uses genomic sequences for the experimental purpose. In order to give a complete representation of known and unknown genomic sequences of similar kind, the known collection of sequences are made to evolve. The evolved sequences are subjected to offer consensus of the sequences. This consensus is used...
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