"Quiz/Math/Stat"의 두 판 사이의 차이
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* [[measure]] | * [[measure]] | ||
* [[Regularization|Regularization(cont.)]] | * [[Regularization|Regularization(cont.)]] | ||
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* [[Rayleigh quotient]] | * [[Rayleigh quotient]] | ||
* [[condition number]] | * [[condition number]] | ||
* [[Law of large numbers]] | * [[Law of large numbers]] | ||
* [[Central limit theorem]] | * [[Central limit theorem]] | ||
| + | ==Matrix== | ||
| + | * [[Hermitian Matrix|Hermitian]] : self adjoint = conjugate transpose | ||
| + | * [[Hessenberg]] : ''almost'' triangular | ||
| + | * [[Hessian Matrix|Hessian]] | ||
| + | * [[orthonormal]] | ||
| + | * [[tridiagonal matrix| tridiagonal (cont.)]], [[band matrix|band]] | ||
| + | * [[unitary]] | ||
| + | * [[Gram matrix|Gram]] | ||
| + | * [[positive definite|positive, negative (semi-)definite]] | ||
| + | * [[Lanczos method]], [[power method|power method (cont.)]] | ||
| + | * [[SVD]] | ||
| + | * [[Cholesky decomposition]] | ||
2017년 6월 30일 (금) 00:36 판
- MAP/MLE
- Homoscedasticity /ˌhoʊmoʊskəˈdæstɪ-/
- Bayesian Statistics in simple English
- variational inference
- jaccard vs cityblock
- Dirichlet
- distributions
- Euler integral
- FFT
- measure
- Regularization(cont.)
- Rayleigh quotient
- condition number
- Law of large numbers
- Central limit theorem
Matrix
- Hermitian : self adjoint = conjugate transpose
- Hessenberg : almost triangular
- Hessian
- orthonormal
- tridiagonal (cont.), band
- unitary
- Gram
- positive, negative (semi-)definite
- Lanczos method, power method (cont.)
- SVD
- Cholesky decomposition