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Effects of Molecular Representation in Predicting the Biological Activity using SVM and PLS Approaches
(2014)
In this work we study and analyze the behavior
of different representational spaces
for molecular activity prediction. Representational
spaces based on fingerprint similarity,
structural similarity using maximum ...
A general framework for boosting feature subset selection algorithms
(Elsevier, 2018)
Feature selection is one of the most important tasks in many machine learning and data mining problems. Due to the increasing size of the problems, removing useless, erroneous or noisy features is frequently an initial ...