Training apparatus and method

An apparatus for interpreting data, comprising:

• a first classifier operative to interpret a plurality of actual examples of the data and to output an interpretation of each interpreted example and a certainty value associated with each interpretation wherein the first classifier comprises a chooser operative to discriminate between certain ones of the outputted interpretations having respective high certainty values and uncertain ones of the outputted interpretations having respective low certainty values and to select and output each of the interpreted examples associated with a respective uncertain one of the interpretations;
• a second classifier operative to annotate each of the interpreted examples associated with the selected uncertain ones of the interpretations and to output a preferred interpretation for each interpreted example associated with the selected uncertain ones of the interpretations;
• and
• an uncertainty measuring device generator operative to produce a next first classifier by using at least one annotated example and its associated preferred interpretation, the next first classifier capable of interpreting subsequent actual examples of the data more accurately than the first classifier.

An apparatus for interpreting data, comprising:

• a first classifier operative to interpret a plurality of actual examples of the data according to a first principle and to output an interpretation of each interpreted example and a certainty value associated with each interpretation wherein the first classifier comprises a chooser operative to discriminate between certain ones of the outputted interpretations having respective high certainty values and uncertain ones of the outputted interpretations having a low certainty values and to select and output each of the interpreted examples associated with a respective uncertain one of the interpretations;
• a second classifier operative to annotate each of the interpreted examples associated with the selected uncertain ones of the interpretations and to output a preferred interpretation for each interpreted example associated with the selected uncertain ones of the interpretations;
• and
• an uncertainty measuring device generator operative to produce a third classifier by utilizing at least one annotated example and its associated preferred interpretation, the third classifier operative to interpret subsequent actual examples of the data according to a second principle different from the first principle.