AUTOMATED MACHINE LEARNING PIPELINE GENERATION

Patent №

US 11,620,582

Granted

2023-04-04

Filed 2020

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · vision · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16942247

Techniques regarding one or more automated machine learning processes that analyze time series data are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a time series analysis component that selects a machine learning pipeline for meta transfer learning on time series data by sequentially allocating subsets of training data from the time series data amongst a plurality of machine learning pipeline candidates.

Machine learningVisionPlanningAI hardwareG06N 20/20G06N 3/042G06N 3/0442G06N 3/0455G06N 3/0464G06N 3/0475G06N 3/0495G06N 3/09+8 more

AI classification

Machine learning1.00
Planning1.00
AI hardware1.00
Vision1.00
Knowledge representation0.13
Natural language0.10
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 533450265

Assignors

CHEN, BEI, VU, LONG, SHAH, SYED YOUSAF, DANG, XUAN-HONG, KIRCHNER, PETER DANIEL, HAN, SI ER, YANG, JI HUI, WANG, JUN, XU, JING JAMES, WANG, DAKUO, PATEL, DHAVALKUMAR C., BRAMBLE, GREGORY, +3 more

On an employer assignment, the assignors are typically the inventors.

From the same owner

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