Support vector machines (SVMs) are a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
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 libsvmBy 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 svmI 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-classifierI 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 svmI am a bit confused about the namings in the SVM. I am using this library LibSVM. There are so …
machine-learning classification libsvm svmI applied SVM (scikit-learn) in some dataset and wanted to find the values of C and gamma that can give …
python machine-learning scikit-learn svm hyperparameters