How to gauge accuracy of processing big data: Teaching machine learning techniques to gauge their own accuracy
© Springer International Publishing AG 2018. When the amount of data is reasonably small, we can usually fit this data to a simple model and use the traditional statistical methods both to estimate the parameters of this model and to gauge this model’s accuracy. For big data, it is often no longer p...
Saved in:
Main Authors: | Vladik Kreinovich, Thongchai Dumrongpokaphan, Hung T. Nguyen, Olga Kosheleva |
---|---|
Format: | Book Series |
Published: |
2018
|
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85037865695&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/43924 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
How to gauge accuracy of processing big data: Teaching machine learning techniques to gauge their own accuracy
by: Vladik Kreinovich, et al.
Published: (2018) -
Beyond traditional applications of fuzzy techniques: Main idea and case studies
by: Vladik Kreinovich, et al.
Published: (2018) -
How to explain ubiquity of constant elasticity of substitution (CES) production and utility functions without explicitly postulating CES
by: Olga Kosheleva, et al.
Published: (2018) -
How to explain ubiquity of constant elasticity of substitution (CES) production and utility functions without explicitly postulating CES
by: Olga Kosheleva, et al.
Published: (2018) -
How to select an appropriate similarity measure: Towards a symmetry-based approach
by: Ildar Batyrshin, et al.
Published: (2018)