42 questions linked to/from How does a Support Vector Machine (SVM) work?
1 vote
763 views

SVM: intuition behind maximizing the margin [duplicate]

I do understand that SVM is about finding the classifier that maximize the margin. But what is the intuition there? Please don't go into the math. Thx More specifically, if someone ask you during an ...
• 11
528 views

Mathematical formulation SVM Model [duplicate]

Good morning, For a homework I used a support vector machines (classification) with a RBF kernel, k-fold cross validation=10, cost of constraints violation=100, and gamma=0.001. It works great and ...
• 415
1 vote
281 views

SVM mathematical background [duplicate]

I try to get the basic understanding behing SVM algorithm, however I have a problem with basic mathematics. I follow the lecture Support Vector Machine. Suppose the two classes can be separated by ...
• 777
206 views

• 2,488
93k views

Comparing SVM and logistic regression

Can someone please give me some intuition as to when to choose either SVM or LR? I want to understand the intuition behind what is the difference between the optimization criteria of learning the ...
• 661
8k views

Help me understand Support Vector Machines

I understand the basics of what a Support Vector Machines' aim is in terms of classifying an input set into several different classes, but what I don't understand is some of the nitty-gritty details. ...
• 1,187
14k views

How can SVM 'find' an infinite feature space where linear separation is always possible?

What is the intuition behind the fact that an SVM with a Gaussian Kernel has inﬁnite dimensional feature space?
• 561
57k views

Which search range for determining SVM optimal C and gamma parameters?

I am using SVM for classification and I am trying to determine the optimal parameters for linear and RBF kernels. For the linear kernel I use cross-validated parameter selection to determine C and for ...
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