Learning to Learn

  • 분류 전체보기 (215)
    • Research Note (0)
      • KD for openset (0)
      • instance learning for opens.. (0)
      • Use Background as openset (0)
      • Vision Transformer (0)
      • Apply Fourier Transform Sam.. (0)
      • Check Openset sample model (0)
    • Paper (34)
      • Openset recogniton (8)
      • Out-of-distribution (2)
      • Imbalanced data (7)
      • Semi-Supervised learning (1)
      • Unsupervised learning (9)
      • Knowledge distillation (1)
      • ETC (6)
    • Project (0)
      • ICT (0)
      • LG (0)
      • AI Challenge (0)
    • Tutorial (1)
    • Code (2)
    • Deep learning (1)
    • Math (6)
      • Linear Algebra (1)
      • Baysian learning (1)
      • Causal Inference (3)
      • Optimizaiton (1)
    • Python (25)
    • Algorithm (0)
    • Pytorch (8)
    • Terminal (13)
    • Docker (4)
    • CUDA (1)
    • Dic (102)
  • 홈
  • 태그
  • 방명록
/ /

non-degenerate Distribution

2020. 3. 4. 16:25
728x90

https://www.quora.com/What-is-a-non-degenerate-distribution-function

 

What is a non-degenerate distribution function?

Answer (1 of 2): What is a non-degenerate distribution function? For a probability distribution on the real numbers, the distribution function is the cumulative probabilities, i.e. F(x) = P(X \le x). There are two major kinds of distribution (and other min

www.quora.com

https://www.statisticshowto.datasciencecentral.com/degenerate-distribution/

 

Degenerate Distribution: Simple Definition & Examples - Statistics How To

What is a degenerate distribution? Plain English definition, formal definition and examples of uses. Statistics made simple!

www.statisticshowto.datasciencecentral.com

 

728x90
저작자표시 (새창열림)

'Dic' 카테고리의 다른 글

Mahalonobis Distance  (0) 2020.03.06
Gaussian Discriminant Analysis  (0) 2020.03.05
Infimum and supremum  (0) 2020.03.04
Hadamard Product  (0) 2020.03.02
Cardinality  (0) 2020.02.28

+ Recent posts

Powered by Tistory, Designed by wallel
Rss Feed and Twitter, Facebook, Youtube, Google+

티스토리툴바