公开(公告)号：US11436540B2

公开(公告)日：2022-09-06

申请号：US16722649

申请日：2019-12-20

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Guangyao Han ,  Xingbo Chen ,  Guobin Xie ,  Yanjiang Liu ,  Fu Qu ,  Liqiang Xue ,  Jin Zhang ,  Wenjing Qin ,  Xiaolan Luo ,  Hongjiang Du ,  Zeqing Jiang

IPC: G06N20/20 ,  G06F9/38 ,  G06K9/62

Abstract: Embodiments of the present disclosure relate to a method and apparatus for generating information. The method may include: receiving a modeling request; determining a target number of initial machine learning pipelines according to a type of training data and a model type; and executing following model generation steps using the target number of initial machine learning pipelines: generating a target number of new machine learning pipelines based on the target number of initial machine learning pipelines; performing model training based on the training data, the target number of initial machine learning pipelines, and the target number of new machine learning pipelines, to generate trained models; evaluating the obtained trained models respectively according to the evaluation indicator; determining whether a preset training termination condition is reached; and determining, in response to determining the preset training termination condition being reached, a target trained model from the obtained trained models according to evaluation results.

公开(公告)号：US11636699B2

公开(公告)日：2023-04-25

申请号：US17118403

申请日：2020-12-10

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Guangyao Han ,  Minhui Pang ,  Guobin Xie ,  Danqing Li ,  Tianyi Wang ,  Peiwei Zheng ,  Zeqing Jiang ,  Jin Zhang ,  Hongjiang Du

IPC: G06V30/412 ,  G06V10/40 ,  G06V30/413 ,  G06V30/414 ,  G06V30/10

Abstract: Embodiments of the present disclosure relate to a method and apparatus for recognizing a table, a device, and a medium. An embodiment of the method can include: detecting a table on a target picture, to obtain a candidate table recognition result; extracting a merging feature of the candidate table recognition result, and determining a to-be-merged row in the candidate table recognition result based on the merging feature; extracting a direction feature of the to-be-merged row, and determining a merging direction of the to-be-merged row based on the direction feature; and adjusting the candidate table recognition result based on the to-be-merged row and the merging direction of the to-be-merged row, to obtain a target table recognition result.

公开(公告)号：US20210248513A1

公开(公告)日：2021-08-12

申请号：US17213066

申请日：2021-03-25

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Haocheng Liu ,  Yuan Li ,  Guobin Xie

IPC: G06N20/00 ,  G06N5/04 ,  G06K9/62 ,  H04L29/08 ,  G06Q30/02

Abstract: A method and apparatus for training an online prediction model are provided. The method may include: acquiring an offline sample feature and an online sample feature of a user, the offline sample feature including a user portrait feature; offline training to obtain an offline recommendation model, based on the offline sample feature and the online sample feature of the user; acquiring a latest online feature of the user, and online training to obtain an online learning model based on the latest online feature of the user, the online learning model being used to adapt the latest online feature for use as an online sample feature to be input into the trained offline recommendation model; and synchronizing the offline recommendation model to online, and inputting the latest online feature output by the online learning model into the offline recommendation model to generate an online prediction model.