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SVMs have also been employed for feature selection using Wrapper and Embedded methodologies.
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In this paper, Riemannian manifolds are employed for feature representation of video activities.
Second, Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were employed for feature extraction.
Following this approach, texton boosting and reflectance hashing were employed for feature selection and image classification.
Two different approaches are employed for feature extraction which aim to obtain complementary information from the speech signals.
In this phase, supervised data mining techniques such as clustering, classification, and association can be employed for feature selection and predictive modeling.
In the new architecture, DBN is employed for feature learning in an unsupervised fashion, which can effectively extract hierarchical data features.
The LDA-based models were employed for feature selection.
Waikato Environment for Knowledge Analysis (WEKA) [ 16] was employed for feature selection and classifier construction.
According to the above experimental results, Isomap is employed for feature selection in our clustering approach, and the dimensionality could be set between 120 and 160, in order to get the balance of time and accuracy.
Classifier development : An L2/ridge-penalized (with the penalty parameter fixed at 2.5, based on optimization of cross-validated model likelihood in previous unrelated projects) logistic regression modeling strategy was employed for feature selection using markers selected by a penalized linear regression forward stepwise feature selection process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com