Question

Elementary reference on Support Vector Machines

score 74 · Answer 1 · 2026-04-27 21:57:47

74

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Elementary reference on Support Vector Machines

Published on 27 Apr 2026 - 21:57

score 101 · Answer 2 · 2026-04-29 12:50:22

101

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Unification of data set using machine learning

Published on 29 Apr 2026 - 12:50

score 88 · Answer 3 · 2026-04-29 12:50:23

88

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Can I use independence for bayesian network?

Published on 29 Apr 2026 - 12:50

score 84 · Answer 4 · 2026-04-23 00:52:52

84

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Extrapolation of measurement data

Published on 23 Apr 2026 - 0:52

score 39 · Answer 5 · 2026-04-23 07:50:57

39

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Matching Metric - How to Normalize for different Amounts in Equation

Published on 23 Apr 2026 - 7:50

score 32 · Answer 6 · 2026-04-23 07:47:48

32

Views

In Fisher's LDA, what is $a_i =w^T x_i$ if $w$ is an unit vector and $x_i$ is an observation?

Published on 23 Apr 2026 - 7:47

score 58 · Answer 7 · 2026-04-23 13:10:25

58

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How to interpret maximizing "separability and reciprocal of scattering" in Fisher's LDA?

Published on 23 Apr 2026 - 13:10

score 39 · Answer 8 · 2026-04-23 07:14:09

39

Views

In raw stress, what does putting $\sum_{i <j} d_{ij}$ in denominator do?

Published on 23 Apr 2026 - 7:14

score 63 · Answer 9 · 2026-04-25 11:49:37

63

Views

In PCA, why for every $x \in \mathbb{R}^n$, $x=\sum_{k=1}^n u^T_k x \space u_k$?

Published on 25 Apr 2026 - 11:49

score 79 · Answer 10 · 2026-04-23 09:19:32

79

Views

Why/when is there $\frac{1}{2}$ in front of Least Squares Estimator?

Published on 23 Apr 2026 - 9:19

score 55 · Answer 11 · 2026-04-24 21:25:32

55

Views

In the context of PCA and random projection, what does $\tilde{X} \sim XR$ mean?

Published on 24 Apr 2026 - 21:25

score 115 · Answer 12 · 2026-04-28 09:16:17

115

Views

Why approximate pairwise distances only over lower triangle of distance matrix?

Published on 28 Apr 2026 - 9:16

score 33 · Answer 13 · 2026-04-28 20:47:10

33

Views

What are correlation coefficients used for in PCA?

Published on 28 Apr 2026 - 20:47

score 46 · Answer 14 · 2026-04-28 08:44:27

46

Views

What's matrix $W$ in nonlinear PCA?

Published on 28 Apr 2026 - 8:44

score 88 · Answer 15 · 2026-05-06 10:27:19

88

Views

Is variance of mean equals mean of covariance?

Published on 06 May 2026 - 10:27

List Question

Elementary reference on Support Vector Machines

Unification of data set using machine learning

Can I use independence for bayesian network?

Extrapolation of measurement data

Matching Metric - How to Normalize for different Amounts in Equation

In Fisher's LDA, what is $a_i =w^T x_i$ if $w$ is an unit vector and $x_i$ is an observation?

How to interpret maximizing "separability and reciprocal of scattering" in Fisher's LDA?

In raw stress, what does putting $\sum_{i <j} d_{ij}$ in denominator do?

In PCA, why for every $x \in \mathbb{R}^n$, $x=\sum_{k=1}^n u^T_k x \space u_k$?

Why/when is there $\frac{1}{2}$ in front of Least Squares Estimator?

In the context of PCA and random projection, what does $\tilde{X} \sim XR$ mean?

Why approximate pairwise distances only over lower triangle of distance matrix?

What are correlation coefficients used for in PCA?

What's matrix $W$ in nonlinear PCA?

Is variance of mean equals mean of covariance?

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