Method for selecting features used in continuous-valued regression analysis
AssigneeMitsubishi Electric Research Laboratories, Inc.
InventorsKevin W. Wilson, Yubo Cheng
Life of this patent
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Abstract
A method selects features used in continuous-valued regression analysis. Training data input to the method includes features and corresponding target values, wherein the target values are continuous, and there is one target value for each feature. Each threshold value is thresholded and discretized with respect to a threshold value to produce a discretized target value. Then, categorical feature selection is applied to the features, using the discrete target values, to produces selected features. The selected values can be used in any regression analysis.
Claims7
A method for selecting features used in continuous-valued regression analysis, comprising the steps of:
- providing a training data set as input, wherein the training data set includes features and corresponding target values, wherein the target values are continuous, and there is one target value for each feature;
- thresholding and discretizing each target value with respect to a threshold value to produce a discretized target value;
- and
- applying categorical feature selection to the features using the discretized target values to produces selected features, wherein the steps are performed in a processor.
Dependencies are inferred from the claim text.