Computing Reviews
Today's Issue Hot Topics Search Browse Recommended My Account Log In
Browse by topic Browse by titles Authors Reviewers Browse by issue Browse Help
Search
  Browse All Reviews > Computing Methodologies (I) > Pattern Recognition (I.5) > Models (I.5.1)
 
  Models (I.5.1) See Reviews  
 
Subject Descriptors:
Deterministic (3)
Fuzzy Set (96)
Geometric (21)
Neural Nets (148)
Statistical (76)
Structural (27)
 
Proper Nouns:
There are no proper nouns with reviews under I.5.1.
 
 
Reviews limited to:
 
 

Reviews about "Models (I.5.1)":
Date Reviewed
A deep learning technique for intrusion detection system using a recurrent neural networks based framework
Kasongo S. Computer Communications 199113-125, 2023.  Type: Article, Reviews: (2 of 2)
May 21 2024
A deep learning technique for intrusion detection system using a recurrent neural networks based framework
Kasongo S. Computer Communications 199113-125, 2023.  Type: Article, Reviews: (1 of 2)
Jan 19 2024
Fuzzy collaborative forecasting and clustering: methodology, system architecture, and applications
Chen T., Honda K., Springer International Publishing, New York, NY, 2019. 100 pp.  Type: Book (978-3-030225-73-5)
Jun 14 2021
Visual and text sentiment analysis through hierarchical deep learning networks
Chaudhuri A., Springer International Publishing, New York, NY, 2019. 120 pp.  Type: Book
Jan 25 2021
Mixture models and applications
Bouguila N., Fan W., Springer International Publishing, New York, NY, 2019. 355 pp.  Type: Book (978-3-030238-75-9)
Jan 18 2021
 Discrete fuzzy measures: computational aspects
Beliakov G., James S., Wu J., Springer International Publishing, New York, NY, 2020. 245 pp.  Type: Book (978-3-030153-04-5)
Mar 9 2020
Lie group machine learning
Fanzhang L., Li Z., Zhao Z., Walter de Gruyter & Co., Berlin, Germany, 2018. 533 pp.  Type: Book (978-3-110500-68-4)
Dec 4 2019
more...
 
 
Send Your Comments
Contact Us
Reproduction in whole or in part without permission is prohibited.   Copyright 1999-2025 ThinkLoud®
Terms of Use
| Privacy Policy