Question

Elementary reference on Support Vector Machines

score 66 · Answer 1 · 2026-03-17 13:34:28

66

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Elementary reference on Support Vector Machines

Published on 17 Mar 2026 - 13:34

score 92 · Answer 2 · 2026-03-17 09:45:07

92

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Unification of data set using machine learning

Published on 17 Mar 2026 - 9:45

score 80 · Answer 3 · 2026-03-23 10:33:46

80

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Can I use independence for bayesian network?

Published on 23 Mar 2026 - 10:33

score 77 · Answer 4 · 2026-03-22 03:44:09

77

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Extrapolation of measurement data

Published on 22 Mar 2026 - 3:44

score 32 · Answer 5 · 2026-03-17 01:59:36

32

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Matching Metric - How to Normalize for different Amounts in Equation

Published on 17 Mar 2026 - 1:59

score 24 · Answer 6 · 2026-03-17 09:25:51

24

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 17 Mar 2026 - 9:25

score 50 · Answer 7 · 2026-03-17 11:00:29

50

Views

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

Published on 17 Mar 2026 - 11:00

score 31 · Answer 8 · 2026-03-17 03:38:30

31

Views

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

Published on 17 Mar 2026 - 3:38

score 55 · Answer 9 · 2026-03-16 21:41:22

55

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 16 Mar 2026 - 21:41

score 73 · Answer 10 · 2026-03-17 11:03:31

73

Views

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

Published on 17 Mar 2026 - 11:03

score 49 · Answer 11 · 2026-03-25 03:18:21

49

Views

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

Published on 25 Mar 2026 - 3:18

score 112 · Answer 12 · 2026-03-25 03:19:41

112

Views

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

Published on 25 Mar 2026 - 3:19

score 30 · Answer 13 · 2026-03-25 03:19:19

30

Views

What are correlation coefficients used for in PCA?

Published on 25 Mar 2026 - 3:19

score 43 · Answer 14 · 2026-03-25 03:18:55

43

Views

What's matrix $W$ in nonlinear PCA?

Published on 25 Mar 2026 - 3:18

score 84 · Answer 15 · 2026-03-25 03:21:26

84

Views

Is variance of mean equals mean of covariance?

Published on 25 Mar 2026 - 3:21

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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