User Gnattuha

44 votes

One-vs-All and One-vs-One in svm?

answered Mar 23, 2014 at 19:39

13 votes

The difference of kernels in SVM?

answered Mar 20, 2014 at 17:02

9 votes

Accepted

Deriving the optimal value for the intercept term in SVM

answered Mar 25, 2014 at 15:40

4 votes

Accepted

Quadratic (programming) Optimization : Multiply by scalar

answered Mar 23, 2014 at 18:22

3 votes

Problems with Implementing SVM in CVX - lagrange variables alpha are not what I expected

answered Mar 19, 2014 at 20:02

2 votes

Accepted

How to give the input of an image to SVM after preprocessing

answered Mar 19, 2014 at 20:38

2 votes

Different formulations for SVM with slack variables (primal)

answered Mar 19, 2014 at 21:21

2 votes

How to measure weight similarity?

answered Mar 21, 2014 at 4:42

2 votes

Returning the inverse of a matrix in a quadratic program (SVM) in cvx optimization package

answered Mar 23, 2014 at 18:43

2 votes

What is parameter fine tuning means in SVM?

answered Mar 22, 2014 at 15:21

1 vote

Parameter selection in multiple kernel learning

answered Mar 22, 2014 at 22:13

1 vote

Probablistic counterpart for kNN

answered Mar 21, 2014 at 13:54

1 vote

Difference between semi-supervised learning and prediction?

answered Aug 27, 2017 at 1:55

1 vote

Neural Network with artificial data overfits?

answered Aug 27, 2017 at 2:07

1 vote

Backpropagation proof and usage confusion

answered Aug 7, 2017 at 5:01

0 votes

Issues with neural network

answered Aug 7, 2017 at 5:08

0 votes

Trouble training Neural Network

answered Aug 20, 2017 at 19:03

0 votes

Why not just dump the neural networks and deep learning?

answered Aug 20, 2017 at 19:41

0 votes

An article that explains what happens to CNNs when the training and testing data follow different distribution

answered Aug 22, 2017 at 2:52

0 votes

Vector Valued SVM

answered Apr 23, 2014 at 23:49

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20 Answers

One-vs-All and One-vs-One in svm?

The difference of kernels in SVM?

Deriving the optimal value for the intercept term in SVM

Quadratic (programming) Optimization : Multiply by scalar

Problems with Implementing SVM in CVX - lagrange variables alpha are not what I expected

How to give the input of an image to SVM after preprocessing

Different formulations for SVM with slack variables (primal)

How to measure weight similarity?

Returning the inverse of a matrix in a quadratic program (SVM) in cvx optimization package

What is parameter fine tuning means in SVM?

Parameter selection in multiple kernel learning

Probablistic counterpart for kNN

Difference between semi-supervised learning and prediction?

Neural Network with artificial data overfits?

Backpropagation proof and usage confusion

Issues with neural network

Trouble training Neural Network

Why not just dump the neural networks and deep learning?

An article that explains what happens to CNNs when the training and testing data follow different distribution

Vector Valued SVM