Top "Svm" questions

Support vector machines (SVMs) are a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.

Can an SVM learn incrementally?

I am using a multi-dimensional SVM classifier (SVM.NET, a wrapper for libSVM) to classify a set of features. Given …

c# machine-learning svm libsvm
What is the theorical foundation for scikit-learn dummy classifier?

By the documentation I read that a dummy classifier can be used to test it against a classification algorithm. This …

python machine-learning artificial-intelligence scikit-learn svm
people detection with haar cascade

I am working on a project in my school to detect how many students are in the classroom. Like in …

opencv machine-learning svm face-recognition haar-classifier
In sklearn what is the difference between a SVM model with linear kernel and a SGD classifier with loss=hinge

I see that in scikit-learn I can build an SVM classifier with linear kernel in at last 3 different ways: LinearSVC …

machine-learning scikit-learn svm
Which of the parameters in LibSVM is the slack variable?

I am a bit confused about the namings in the SVM. I am using this library LibSVM. There are so …

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