1. An apparatus for feature extraction, the apparatus comprising: a memory; and at least one processor device, coupled to the memory, operative to: a) receive at least one query to predict at least one future value of a given value series; b) generate 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) query a user to select one of the predictions.
1. An apparatus for feature extraction, the apparatus comprising: a memory; and at least one processor device, coupled to the memory, operative to: a) receive at least one query to predict at least one future value of a given value series; b) generate 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) query a user to select one of the predictions. 2. The apparatus of claim 1 , wherein the at least one processor device is further operative to: d) query the user for textual annotations for the predictions; e) use the annotations to identify additional covariates to create an extended set of covariates; and f) use the extended set of covariates to improve the accuracy of the statistical model.