Log in
Enquire now
‌

US Patent 10257275 Tuning software execution environments using Bayesian models

Patent 10257275 was granted and assigned to Amazon on April, 2019 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
0
Current Assignee
Amazon
Amazon
0
Date Filed
October 26, 2015
0
Date of Patent
April 9, 2019
0
Patent Applicant
Amazon
Amazon
0
Patent Application Number
14923237
0
Patent Citations Received
‌
US Patent 12118184 Efficiently augmenting images with related content
0
‌
US Patent 11853017 Machine learning optimization framework
0
‌
US Patent 11868810 Resource adaptation using nonlinear relationship between system performance metric and resource usage
0
‌
US Patent 12026612 Optimization of parameter values for machine-learned models
0
‌
US Patent 12073298 Machine learning service
0
‌
US Patent 10678971 Space exploration with Bayesian inference
‌
US Patent 11586474 Adaptation of resource allocation for multiple workloads using interference effect of resource allocation of additional workloads on performance
‌
US Patent 11755955 Anomaly detection and tuning recommendation system
‌
US Patent 11327801 Initialization of resource allocation for a workload characterized using a regression model
‌
US Patent 11327869 Distributed architecture for determining performance parameters
•••
Patent Inventor Names
Rodolphe Jenatton
0
Leo Parker Dirac
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
10257275
0
Patent Primary Examiner
‌
Viet D Vu
0

Find more entities like US Patent 10257275 Tuning software execution environments using Bayesian models

Use the Golden Query Tool to find similar entities by any field in the Knowledge Graph, including industry, location, and more.
Open Query Tool
Access by API
Golden Query Tool
Golden logo