Unlock instant, AI-driven research and patent intelligence for your innovation.

User-customisable machine learning model

A machine learning model, user's technology, applied in the field of machine learning models, which can solve problems such as consumers' inability to take advantage of machine learning needs or curiosity

Pending Publication Date: 2020-05-26
KONINKLJIJKE PHILIPS NV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, consumers typically only have access to the trained results of these campaigns
Without extensive expertise in computer science, consumers cannot harness the potential of machine learning to satisfy their own needs or curiosities

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • User-customisable machine learning model
  • User-customisable machine learning model
  • User-customisable machine learning model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] As mentioned above, the data or information that is meaningful to an end user is very diverse and can change over time. Therefore, it is desirable to provide users (especially consumers with limited technical knowledge) with the ability to use machine learning models, and especially to provide users with the ability to customize the training of machine learning models according to their specific requirements or circumstances. This may enable the user to understand the correlation between behavior and experience data that is very personal to the user. Using sensors that are multifunctional and that can be easily repositioned or repositioned by the user (for example, they can be used to monitor many different aspects of the user, object, and / or environment, and the aspect being monitored or the user being monitored or objects can change over time), users can experiment with sensors and machine learning models to find relevant insights that may be difficult to grasp.

[0...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

According to an aspect, there is provided an apparatus for providing a user-customisable machine learning model, MLM, the apparatus comprising one or more processing units configured to receive measurements from one or more sensors that monitor one or more aspects of a user, an object and / or an environment of the user; receive, via a user interface, one or more user-defined labels for one or moreparts of the received measurements; form a training measurement set from the one or more parts and the one or more user-defined labels; and train an MLM with the training measurement set to generate atrained MLM, wherein the trained MLM is such that the trained MLM is able to determine one or more user-defined labels for further measurements received from the one or more sensors.

Description

technical field [0001] The present disclosure relates to machine learning models, and in particular to machine learning models that can be customized or customized by a user. Background technique [0002] More recently, the use of machine learning has become a cornerstone of data science and is widely used in research settings. However, consumers typically only have access to the trained results of these campaigns. Without extensive expertise in computer science, consumers cannot harness the potential of machine learning to satisfy their own needs or curiosities. Contents of the invention [0003] It is therefore an object to provide an apparatus, system and method that enable users to tailor the training of machine learning models to their specific requirements or circumstances. [0004] According to a first particular aspect, there is provided an apparatus for providing a user-customizable machine learning model MLM, said apparatus comprising one or more processing uni...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00
CPCG06N20/00G06N20/20G06N20/10G06F3/0481G06N5/01G06N3/044
Inventor J·W·M·范科勒伯格S·博热
Owner KONINKLJIJKE PHILIPS NV