公开(公告)号：US20240256636A1

公开(公告)日：2024-08-01

申请号：US18629815

申请日：2024-04-08

Applicant: Amazon Technologies, Inc.

Inventor： Fedor Zhdanov ,  Emanuele Coviello ,  Benjamin Alexei London

IPC: G06F18/214 ,  G06F16/635 ,  G06F16/68 ,  G06F18/23 ,  G06N20/00 ,  G10L19/00

CPC classification number: G06F18/2155 ,  G06F16/635 ,  G06F16/686 ,  G06F18/23 ,  G06N20/00 ,  G10L2019/0001

Abstract: At an artificial intelligence system, training iterations of a first machine learning model are implemented. In a particular iteration, a group of data items are selected from an item collection using active learning, and respective labels selected from a set of tags are obtained for at least some of the items of the group. Using feature processing elements of a different machine learning model, a respective feature set corresponding to individual labeled items is generated in the iteration, and the feature sets are included in a training set used to train the first machine learning model. A trained version of the first machine learning model is stored after a training completion criterion is met.

公开(公告)号：US11983244B1

公开(公告)日：2024-05-14

申请号：US16017892

申请日：2018-06-25

Applicant: Amazon Technologies, Inc.

Inventor： Fedor Zhdanov ,  Emanuele Coviello ,  Benjamin Alexei London

IPC: G06K9/62 ,  G06F16/635 ,  G06F16/68 ,  G06F18/214 ,  G06F18/23 ,  G06N20/00 ,  G10L19/00

CPC classification number: G06F18/2155 ,  G06F16/635 ,  G06F16/686 ,  G06F18/23 ,  G06N20/00 ,  G10L2019/0001

Abstract: At an artificial intelligence system, training iterations of a first machine learning model are implemented. In a particular iteration, a group of data items are selected from an item collection using active learning, and respective labels selected from a set of tags are obtained for at least some of the items of the group. Using feature processing elements of a different machine learning model, a respective feature set corresponding to individual labeled items is generated in the iteration, and the feature sets are included in a training set used to train the first machine learning model. A trained version of the first machine learning model is stored after a training completion criterion is met.

公开(公告)号：US11200511B1

公开(公告)日：2021-12-14

申请号：US15817068

申请日：2017-11-17

Applicant: Amazon Technologies, Inc.

Inventor： Benjamin Alexei London

IPC: G06N20/00 ,  G06N7/08 ,  G06N7/00

Abstract: At a machine learning service, an indication of a training data set for a model is obtained. One or more training iterations of the model are conducted using an adaptive input sampling strategy. In a particular iteration, index values for a set of training observations are selected based on a set of sampling weights, parameters of the model are updated based on results using training observations identified by the index values, and sampling weights are modified. A result obtained from a trained version of the machine learning model is provided.