Amazon.com, Inc.
Artificial intelligence service for scalable classification using features of unlabeled data and class descriptors

Abstract:

At an artificial intelligence service, a first group of attributes of data items, which can be represented in the same encoding space as a second group of attributes of class descriptors, is identified. Feature data structures are generated that respectively represent (a) the first group of attributes of an unlabeled subset of the data items and (b) the second group of attributes of the class descriptors. In one or more training iterations, a class-weights data structure that meets a quality criterion is computed, where the computations of at least one iteration include generating an aggregate data structure from the feature data structures. The class-weights data structure is stored.