Automate engineering processes at scale

PRODUCTS

  pSeven  v2024.03
Desktop application for design exploration, predictive modeling, CAD/CAE integration and automation.

Download navigate_next

Changelog navigate_next

  pSeven Enterprise  v2024.03
Low-code cloud-native platform to automate engineering processes and enable Digital Twins at scale.

System requirements navigate_next

Changelog navigate_next

  pSeven Core  v2024.03
Python library with machine learning and optimization algorithms.

Download navigate_next

Changelog navigate_next

credit_card  Licensing edit_calendar  Training timer  Request demo
SOLUTIONS

  Design Exploration
Solve complex engineering problems with no specialized competence required: Design Exploration tools support the automatic selection of the best suitable technique.

  Predictive Modeling
Predict response values for new designs, accelerate complex simulations and capture knowledge from vast amounts of data.

  Process Integration
Integrate all your CAD/CAE packages into a single workflow, explore virtual prototype behavior and eliminate repetitive tasks with automation.

  SmartSelection
Automatic choosing of appropriate and the most effective DoE, optimization and approximation algorithms ans techniques.

Collaborative engineering
Improve collaboration within and between the teams with simultaneous multi-user access and co-authoring of the workflows in real-time.

Access and scalability
Run many resource-consuming studies simultaneously without interruption with a built-in resource manager.
INDUSTRIES
flight Aerospace directions_car Automotive battery_charging_full Batteries vaccines Biomedical charging_station Electronics heat_pump Industrial equipment water_drop Oil and Gas storm Turbomachinery
school Academic program
BLOG
COMPANY
apartment About Us group Careers settings Consulting description Publications
language Resellers compare_arrows Partners handshake Partner program
CONTACTS
alternate_email Contact us mark_email_unread Subscribe support_agent Support

pSevenCompanyPublicationsProperties of Posterior Distribution of Parameters for Gaussian Processes Regression

Properties of Posterior Distribution of Parameters for Gaussian Processes Regression

Download account_balance Download insert_drive_file

Authors:

Burnaev E., Zaytsev A., Spokoiny V.

Journal:

Proceedings of the Conference on Structural Inference in Statistics. Potsdam. Germany. September 17-19. 2013. P. 27-28.

Abstract:

Keywords: Approximation, Gaussian Processes

Contact information

31100, Toulouse, Avenue du Général de Croutte 42

+33 (0) 5 82-95-59-68

info@pseven.io

Properties of Posterior Distribution of Parameters for Gaussian Processes Regression

Authors:

Journal:

Abstract:

Contact information

Subscribe to newsletters