公开(公告)号：US20190034825A1

公开(公告)日：2019-01-31

申请号：US15665108

申请日：2017-07-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Wee Hyong TOK ,  Yiwen SUN ,  Borna VUKOREPA

IPC: G06N99/00 ,  G06N5/04 ,  G06N7/00

Abstract: Estimating and applying effective regression techniques for datasets. The system first applies each of multiple regression techniques to each of multiple reference datasets, and determines a corresponding machine-learning metric for each regression techniques applied to each reference datasets. For each reference datasets, the system uses the determined machine-learning metric to estimate one or more effective regression techniques for execution of the corresponding reference datasets and records the estimated optimal regression techniques and the corresponding reference dataset. A user dataset is compared to at least some of the reference datasets to identify a reference dataset that has an acceptably similar probability distribution to the user dataset. At least one of the optimal regression techniques corresponding to the found reference dataset is retrieved and applied to the user dataset.

公开(公告)号：US20250077538A1

公开(公告)日：2025-03-06

申请号：US18241028

申请日：2023-08-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Shaily Jignesh FOZDAR ,  David Joseph DONAHUE ,  Fang LIU ,  Noelle Yanhui LI ,  Abhishek NARAIN ,  Irene Rogan SHAFFER ,  Wee Hyong TOK ,  Ehimwenma NOSAKHARE ,  Vivek GUPTA ,  Gust VERBRUGGEN ,  Vu Minh LE ,  Jordan Joseph HENKEL ,  Avrilia FLORATOU ,  Joyce Yu CAHOON ,  Richard ANARFI ,  Jason Wang ,  Daniel MUÑOZ HUERTA ,  Yan Qiu

IPC: G06F16/25 ,  G06F16/242

Abstract: A computer-implemented method for performing natural language-based data integration includes causing execution of a data integration application on a remote device via a network and causing surfacing of a GUI corresponding to the data integration application on a display of the remote device. The method includes receiving, via the GUI, a natural language input representing a data integration task, generating, via an LLM, a set of ordered activities corresponding to the data integration task represented by the natural language input, and selecting, via the LLM, one or more APIs for performing each activity within the set of ordered activities. The method also includes generating a data pipeline based on the set of ordered activities and the API(s) for performing each activity, as well as back-translating the data pipeline to a desired data format for execution by the data integration application.

公开(公告)号：US20230409387A1

公开(公告)日：2023-12-21

申请号：US17845634

申请日：2022-06-21

Applicant: Microsoft Technology Licensing, LLC

Inventor： Vivek GUPTA ,  Andrea TREVIÑO GAVITO ,  Mawulolo Koku AMEKO ,  Wee Hyong TOK ,  Sean Gromley T. KELLEY ,  Yanjie HE ,  Mark KROMER ,  Abhishek Uday Kumar SHAH ,  Ehimwenma NOSAKHARE

IPC: G06F9/48 ,  G06F9/445 ,  G06F9/50

CPC classification number: G06F9/4881 ,  G06F9/44505 ,  G06F9/5027

Abstract: A method for recommending a computer hardware configuration, including: receiving, by a processor, a machine-readable specification of a computing task; extracting, by the processor, a plurality of features from the machine-readable specification of the computing task; supplying, by the processor, the plurality of features to a reinforcement learning model to generate a proposed computer hardware configuration to execute the computing task; and providing, by the processor, the proposed computer hardware configuration to a user.