Questions tagged [svm]

For questions about Support Vector Machines/Networks.

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5
votes
1answer
53 views

How do I combine models trained on different data to increase classification accuracy?

I have two trained models. One is using a LinearSVC algorithm and is trained on numerical data from medical examination from patients with diabetic retinopathy. The second one is a neural network ...
2
votes
0answers
42 views

Implementation of SVM - theory to practice

I'm studying Support Vector Machines in the machine learning course, I'm a computer scientist, I've quite understood how SVM are designed thanks also to 16. Learning: Support Vector Machines - MIT. ...
0
votes
0answers
20 views

why my regression model predict every datapoint to the same value

I am trying to train a SVR but I found that with some combination of features, the trained SVR predict every point in test set to the same value. this problem occurs much more when I use linear kernel ...
1
vote
0answers
42 views

Why do we use the word “kernel” in the expression “Gaussian kernel”?

I've heard the expression "Gaussian kernel" in several contexts (e.g. in the kernel trick used in SVM). A Gaussian kernel usually refers to a Gaussian function (that is, a function similar to the ...
10
votes
4answers
234 views

What are the domains where SVMs are still state-of-the-art?

It seems that deep neural networks and other neural network based models are dominating many current areas like computer vision, object classification, reinforcement learning, etc. Are there domains ...
2
votes
0answers
23 views

What is the benefit of scaling the hyperparameter C of an SVM?

Please read the following page of the Sklearn documentation. The figure shown there (see below) illustrates why C should be scaled when using a SVM with 'l1' penalty, whereas it shouldn't be scaled ...
0
votes
1answer
19 views

The proper AI method for modeling to predict road crashes and safety surrogate measures

I intend to use an AI method for modeling to predict road crashes and safety sorrogate measures. The dependent variables are crash frequency and other measures that are nonnegative integers. The ...
0
votes
1answer
46 views

How does an svm work? How does it perform comparisons between malignant and benign tumor

How do Support Vector Machines (SVMs) differentiate between a glass and a bottle or between a malignant and a benign tumor when it dealing with it for the first time? What will be the analysis ...
2
votes
2answers
51 views

Parameter gamma in SVM

I want to understand what the gamma parameter does in svm, according to this page. http://scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html Intuitively, the gamma parameter defines ...
7
votes
3answers
198 views

What are Support Vector Machines?

What are Support Vector Machines? Is an SVM a kind of a neural network, meaning it has nodes and weights, etc.? What is it best used for? Where I can find information about these?
5
votes
1answer
122 views

Why does training an SVM take so long? How can I speed it up?

I'm trying to create and test non-linear SVMs with various kernels (RBF, Sigmoid, Polynomial) in scikit-learn, to create a model which can classify anomalies and benign behaviors. My dataset ...