"영어"의 두 판 사이의 차이

ph
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12번째 줄: 12번째 줄:
 
: 아무렇게나 했을 때 성능
 
: 아무렇게나 했을 때 성능
 
*  it’s all work in flux and progress, more soon.
 
*  it’s all work in flux and progress, more soon.
* \( \frac{\text{numerator}}{\text{denominator}} \)
+
* \(\displaystyle \frac{\text{numerator}}{\text{denominator}} \)
 
* Without going into the rigorous mathematical structures [https://www.analyticsvidhya.com/blog/2016/06/bayesian-statistics-beginners-simple-english/]
 
* Without going into the rigorous mathematical structures [https://www.analyticsvidhya.com/blog/2016/06/bayesian-statistics-beginners-simple-english/]
 
* Rows of the N-by-D matrix X correspond to observations or points, and columns correspond to '''variables''' or coordinates.  
 
* Rows of the N-by-D matrix X correspond to observations or points, and columns correspond to '''variables''' or coordinates.  
 
: 통계에서, variables가 dimension을 뜻하는 모양.(matlab의 help mvnpdf)
 
: 통계에서, variables가 dimension을 뜻하는 모양.(matlab의 help mvnpdf)
 
+
* Weird. Sorry, I'm all out of ideas for now.
  
 
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2017년 6월 21일 (수) 18:55 판

  • (both) are origin 1
(둘 다) 인덱스는 1부터 시작한다. (배열 인덱스)
  • The contribution of our work is three-fold.
  • our method outperforms state-of-the-arts on multiple datasets by large margins.
  • decline to state
(설문조사등에서) 응답하고 싶지 않음.
  • this progress is at least partially due to ballooning training set sizes
  • Our compact embedding lends itself to be used in order to cluster a users personal photos into groups of people with the same identity.
  • chance performance
아무렇게나 했을 때 성능
  • it’s all work in flux and progress, more soon.
  • \(\displaystyle \frac{\text{numerator}}{\text{denominator}} \)
  • Without going into the rigorous mathematical structures [1]
  • Rows of the N-by-D matrix X correspond to observations or points, and columns correspond to variables or coordinates.
통계에서, variables가 dimension을 뜻하는 모양.(matlab의 help mvnpdf)
  • Weird. Sorry, I'm all out of ideas for now.