Skip to content
Website Logo
About
Need Help?
Search Tips Ask a Librarian FAQs
  • Login
  • EN AR
About
Need Help?
Search Tips Ask a Librarian FAQs
EN AR
Advanced
  • Profiling Players in Serious G...
  • Cite this
  • Text this
  • Email this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Save to List
  • Permanent link
Profiling Players in Serious Games Using Machine Learning Techniques

Profiling Players in Serious Games Using Machine Learning Techniques

Saved in:
Bibliographic Details
Main Author: unknown (author)
Format: masterThesis
Published: 2020
Subjects:
Computer
Research
Information Technology
Online Access:https://eprints.kfupm.edu.sa/id/eprint/143709/1/KFUPM_Thesis_202201060_DaliaAlbuqaytah_last_version.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
  • Holdings
  • Description
  • Comments
  • Similar Items
  • Staff View

Internet

https://eprints.kfupm.edu.sa/id/eprint/143709/1/KFUPM_Thesis_202201060_DaliaAlbuqaytah_last_version.pdf

Similar Items

  • Profiling Players in Serious Games Using Machine Learning Techniques
    by: unknown
    Published: (2020)
  • Modeling Advanced Persistent Threats Using Stackelberg Game Theory and Reinforcement Learning under Partial Observability
    by: unknown
    Published: (2020)
  • Modeling Advanced Persistent Threats Using Stackelberg Game Theory and Reinforcement Learning under Partial Observability
    by: unknown
    Published: (2020)
  • Machine Learning Approaches for Arabic Dialect Identification using Monodialectal Language Models
    by: unknown
    Published: (2020)
  • Machine Learning Approaches for Arabic Dialect Identification using Monodialectal Language Models
    by: unknown
    Published: (2020)

Browse the Catalog

Explore our entire collection by subject, author, or title

Explore Now

Browse Alphabetically

Browse our collection alphabetically by title, author, or subject

Explore Now

Explore Channels

Discover curated content and specialized resource channels

Explore Now

New Items

Browse recently added books, journals, and resources

Explore Now
Discovery Pathways Logo

نستخلص المعرفة من تبر البيانات

Extracting Knowledge from the Essence of Data

Quick Links

  • About Us
  • ASREN
  • Contact Us

Contact Info

98 Wasfi At-Tall Str., Amman, Jordan 11953

+962 6 437 0369

info@asren.net

Follow Us

Subscribe to our newsletter

Copyright 2026. Tibr. All Rights Reserved.

Powered by Arab State Research & Education Network (ASREN)

Privacy Policy Terms of Use