Patent ID: 11868440
Assignee: A9.COM, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of a computing device, cause the computing device to:
obtain a set of training data for training a model, the training including multiple iterations, the set of training data including data instances each having a specified classification;
select, for a respective iteration of the training, the subset of the training data selected using a probabilistic sampling algorithm accepting the loss gradients for the data instances of the set, the loss gradients derived from loss values representing a measure of inaccuracies of classification for the data instances;
train the model using respective subsets of training data over the multiple iterations to generate a trained model, weightings of instances of the respective subsets determined using respective loss gradients from the set of loss gradients;
applying regularization during the training to avoid overfitting of the model to the set of training data;
evaluate the trained model using a subset of evaluation data, selected from the set of training data, that was not included in the respective subsets used for the training; and
provide the trained model for use in classifying unclassified data.