公开(公告)号：US11379726B2

公开(公告)日：2022-07-05

申请号：US16212601

申请日：2018-12-06

Applicant: INTUIT INC.

Inventor： Sambarta Dasgupta ,  Sricharan Kumar ,  Ashok Srivastava

IPC: G06N3/08 ,  G06N3/04 ,  G06K9/62 ,  G06N20/10

Abstract: Certain aspects of the present disclosure provide techniques for performing finite rank deep kernel learning. In one example, a method for performing finite rank deep kernel learning includes receiving a training dataset; forming a set of embeddings by subjecting the training data set to a deep neural network; forming, from the set of embeddings, a plurality of dot kernels; combining the plurality of dot kernels to form a composite kernel for a Gaussian process; receiving live data from an application; and predicting a plurality of values and a plurality of uncertainties associated with the plurality of values simultaneously using the composite kernel.