Epistasis-based FSA: Two versions of a novel approach for variable selection in multivariate calibration
Variable Selection in large datasets is a commonly procedure in multivariate calibration,
which is a field of study from chemometrics. Selecting the most informative variables …
which is a field of study from chemometrics. Selecting the most informative variables …
Epistasis-Based Feature Selection Algorithm
LCM Paula - Epistasis: Methods and Protocols, 2021 - Springer
Variable selection is an important procedure to select relevant features from large datasets
in optimization problems. The use of epistasis concepts becomes an alternative to assess …
in optimization problems. The use of epistasis concepts becomes an alternative to assess …
[PDF][PDF] Variable Selection in Multivariate Calibration considering Non-Decomposability Assumption and Building Blocks Hypothesis
ND Assumption - researchgate.net
Variable selection is the procedure used to choose a subset of suitable features contained in
a given dataset. Selecting variables becomes important when the dataset contains many …
a given dataset. Selecting variables becomes important when the dataset contains many …