Question

The problem of support vector machine - How to minimize $||w||^{2}$ subject to constraints of the form $\alpha w_{1}+\beta w_{2}+b\geq\pm1$

score 35 · Answer 1 · 2014-11-01 17:55:16

35

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The problem of support vector machine - How to minimize $||w||^{2}$ subject to constraints of the form $\alpha w_{1}+\beta w_{2}+b\geq\pm1$

Published on 01 Nov 2014 - 17:55

score 1.3k · Answer 2 · 2014-11-02 03:10:13

1.3k

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Can anyone explain me about real and complex euclidean space?

Published on 02 Nov 2014 - 3:10

score 144 · Answer 3 · 2014-11-02 22:49:13

144

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Show that the function 1/t is not in L2 (0,1]

Published on 02 Nov 2014 - 22:49

score 417 · Answer 4 · 2014-11-03 13:37:53

417

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$l^p$ norm on an inner product space

Published on 03 Nov 2014 - 13:37

score 51 · Answer 5 · 2014-11-04 06:36:29

51

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When a self-adjoin operator is invariant wrt any orthogonal projection

Published on 04 Nov 2014 - 6:36

score 1.3k · Answer 6 · 2014-11-04 12:49:57

1.3k

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Orthonormal basis Parsevals identity.

Published on 04 Nov 2014 - 12:49

score 42 · Answer 7 · 2014-11-06 22:31:27

42

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Vectors inner product on $\mathbb R$

Published on 06 Nov 2014 - 22:31

score 5.5k · Answer 8 · 2026-04-04 01:52:02

5.5k

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Proving that if $\langle Ax,x\rangle =0$ for every $x$, then $A$ is the zero operator

Published on 04 Apr 2026 - 1:52

score 15k · Answer 9 · 2014-11-08 05:33:43

15k

Views

Norm with symmetric positive definite matrix

Published on 08 Nov 2014 - 5:33

score 37 · Answer 10 · 2014-11-10 13:54:39

37

Views

Vector Space with Scalar Product: $x\to x^{2}$ and $x\to x^{3}$

Published on 10 Nov 2014 - 13:54

score 1k · Answer 11 · 2026-04-04 01:54:40

1k

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Prove there cannot be an inner product which turns $l^p$ into an inner product space?

Published on 04 Apr 2026 - 1:54

score 37 · Answer 12 · 2014-11-10 17:18:26

37

Views

When can we take $A$ somehow out of $\langle x,Ay\rangle$?

Published on 10 Nov 2014 - 17:18

score 47 · Answer 13 · 2014-11-10 22:41:11

47

Views

Directional derivative, why is this incorrect?

Published on 10 Nov 2014 - 22:41

score 157 · Answer 14 · 2026-03-26 14:22:17

157

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A basis $B$ is orthonormal if and only if $\langle f,g \rangle=[f]_B\cdot [g]_B$ for all $f$ and $g$ in $V$

Published on 26 Mar 2026 - 14:22

score 2.2k · Answer 15 · 2014-11-11 10:55:27

2.2k

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How to show that $(U^{\bot})^{\bot}=U$, if $U$ is a linear subspace of $V$ and $V$ is finite-dimensional?

Published on 11 Nov 2014 - 10:55

List Question

The problem of support vector machine - How to minimize $||w||^{2}$ subject to constraints of the form $\alpha w_{1}+\beta w_{2}+b\geq\pm1$

Can anyone explain me about real and complex euclidean space?

Show that the function 1/t is not in L2 (0,1]

$l^p$ norm on an inner product space

When a self-adjoin operator is invariant wrt any orthogonal projection

Orthonormal basis Parsevals identity.

Vectors inner product on $\mathbb R$

Proving that if $\langle Ax,x\rangle =0$ for every $x$, then $A$ is the zero operator

Norm with symmetric positive definite matrix

Vector Space with Scalar Product: $x\to x^{2}$ and $x\to x^{3}$

Prove there cannot be an inner product which turns $l^p$ into an inner product space?

When can we take $A$ somehow out of $\langle x,Ay\rangle$?

Directional derivative, why is this incorrect?

A basis $B$ is orthonormal if and only if $\langle f,g \rangle=[f]_B\cdot [g]_B$ for all $f$ and $g$ in $V$

How to show that $(U^{\bot})^{\bot}=U$, if $U$ is a linear subspace of $V$ and $V$ is finite-dimensional?

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