Prism: Multiple spline regression with regularization, dimensionality reduction, and feature selection
نویسندگان
چکیده
منابع مشابه
Feature Selection, Sparsity, Regression Regularization
from Wikipedia A feature selection algorithm can be seen as the combination of a search technique for proposing new feature subsets, along with an evaluation measure which scores the different feature subsets. The simplest algorithm is to test each possible subset of features finding the one which minimizes the error rate. This is an exhaustive search of the space, and is computationally intrac...
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Feature selection is an important step in designing image classification systems. While many automatic feature selection methods exist, most of them are opaque to their users. We consider that users should be able to gain insight into how observations behave in the feature space, since this may allow the design of better features and the incorporation of domain knowledge. For this purpose, we p...
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ژورنال
عنوان ژورنال: The Journal of Open Source Software
سال: 2016
ISSN: 2475-9066
DOI: 10.21105/joss.00031