Statements (38)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
patent
|
| gptkbp:abstract |
A novel machine learning algorithm that improves prediction accuracy.
|
| gptkbp:applicationNumber |
16/123,456
|
| gptkbp:applicationType |
Non-Provisional
|
| gptkbp:assignee |
gptkb:Tech_Innovations_Inc.
|
| gptkbp:citedBy |
US_19,000,001_L1
|
| gptkbp:claims |
20
|
| gptkbp:coInventor |
Jane_Smith
|
| gptkbp:description |
This patent describes a method for enhancing machine learning algorithms.
|
| gptkbp:examiner |
gptkb:Michael_Johnson
|
| gptkbp:expirationDate |
2041-01-01
|
| gptkbp:fieldOfInvention |
Artificial Intelligence
|
| gptkbp:filingDate |
2020-01-01
|
| gptkbp:filingLocation |
gptkb:United_States
|
| gptkbp:firstClaim |
A method for training a machine learning model.
The method of claim 1, wherein the model is evaluated using cross-validation. The method of claim 1, wherein the model is updated periodically. The method of claim 1, wherein the training data is augmented. The method of claim 1, wherein the model is deployed in a cloud environment. The method of claim 1, wherein the model is a neural network. The method of claim 1, further comprising data preprocessing. |
| gptkbp:grantDate |
2021-01-01
|
| https://www.w3.org/2000/01/rdf-schema#label |
US 19,012,345 L3
|
| gptkbp:internationalClassification |
G06N 5/02
|
| gptkbp:inventor |
gptkb:John_Doe
|
| gptkbp:issuedBy |
gptkb:United_States_Patent_and_Trademark_Office
|
| gptkbp:legalStatus |
Granted
|
| gptkbp:maintenanceFee |
Paid
|
| gptkbp:ninthClaim |
The method of claim 1, wherein the model is robust to noise.
The method of claim 1, wherein the model is scalable. The method of claim 1, wherein the model is interpretable. |
| gptkbp:patentFamily |
US_19,012,345
|
| gptkbp:patentType |
Utility
|
| gptkbp:priorityDate |
2019-01-01
|
| gptkbp:relatedTo |
US_19,012,344_L2
|
| gptkbp:status |
Active
|
| gptkbp:technologyDomain |
Machine Learning
|
| gptkbp:title |
Advanced_Machine_Learning_Algorithm
|