UMR CNRS 7253

Site Tools

en:aec

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revisionBoth sides next revision
en:aec [2021/08/23 13:57] – tdenoeuxen:aec [2022/03/13 18:09] – tdenoeux
Line 17: Line 17:
   - Relevance Vector Machines   - Relevance Vector Machines
   - Neural networks     - Neural networks  
 +  - Uncertainty quantification
    
  
Line 26: Line 27:
 **Slides** **Slides**
  
-  - {{ :en:ace_chapter1_2019.pdf |Introduction}} +  - {{ :en:ace_chapter1_2022.pdf | Introduction}} 
-  - {{ :en:ace_chapter2_2019.pdf |Linear classification}} + 
-  - {{ :en:ace_chapter3_2019.pdf |Model selection}} +
-  - {{ :en:ace_chapter4_2019.pdf |Splines and generalized additive models}} +
-  - {{ :en:ace_chapter5_2019.pdf |Tree-based and ensemble methods}} +
-  - {{ :en:ace_chapter6_2019.pdf |Gaussian mixture models}} +
-  - {{ :en:ace_chapter7_2019.pdf |Support vector machines}} +
-  - {{ :en:ace_chapter8_2019.pdf |Kernel-based Regression and Feature Extraction}} +
-  - {{ :en:ace_chapter9_2019.pdf |Relevance Vector Machines}} +
-  - {{ :en:ace_chapter10_2019.pdf |Neural networks}}+
  
 **Exercises** **Exercises**
  
   - {{ :en:exercices_chapter1.pdf |K-NN regression and bias-variance decomposition}}   - {{ :en:exercices_chapter1.pdf |K-NN regression and bias-variance decomposition}}
-  - {{ :en:exercises_chapter2.pdf |Linear classification}} 
-  - {{ :en:aec_exercises_chapter3.pdf |Model selection}} 
-  - {{ :en:ace_exercises_chapter4.pdf |Splines and GAM}} 
-  - {{ :en:ace_exercises_chapter5.pdf |Tree-based and ensemble methods}} 
-  - {{ :en:ace_exercises_chapter6.pdf |Gaussian mixture models}} 
-  - {{ :en:ace_exercises_chapters7_8.pdf |Support vector classification and regression}} 
-  - {{ :en:ace_chapters10_exercises.r.zip |Neural networks: solution}} 
  
  

Page Tools

User Tools

en/aec.txt · Last modified: 2024/02/07 07:59 by tdenoeux
Mentions légales