Patent ID: 8868472
Filing Date: 2014-10-21
Classification: G06N

Abstract:
1. A computer-implemented method, the method comprising: receiving a plurality of first training examples, wherein each example in the first training examples comprises one or more first features and a first answer; training a first predictive model using the first training examples; for each example in the first training examples, providing the first features of the example to the trained first predictive model to generate a respective first prediction; generating a second training example for each of the first training examples, wherein the second training example comprises the first features of the first training example and an answer that indicates whether the first answer of the first training example matches the respective first prediction of the first training example; training a second predictive model using the second training examples; using the trained second predictive model to determine a confidence score for a prediction generated by the trained first predictive model; determining that the confidence score satisfies a predefined threshold; and in response to determining that the confidence score satisfies the predefined threshold, sending the prediction to a client.