Patent Document ID: 9292798
Application ID: 13723699

Base Claim:
1. A method for feature extraction, the method comprising the steps of: a) receiving at least one query to predict at least one future value of a given value series; b) generating a statistical model built on covariates to produce at least two predictions of the future value fulfilling at least the properties of 1) each being as statistically probable as possible given the statistical model wherein to be as statistically probable as possible an absolute distance of each of the predictions to a true value is less than a predetermined distance parameter with greater than a predetermined probability and 2) being mutually divert in terms of a numerical distance measure; and c) querying a user to select one of the predictions.

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Claim 14:
14. The method of claim 1 , further comprising the step of: training the statistical model using a training data set.