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'd like to write a "smart monitor" in Java that sends out an alert any time it detects oncoming performance …
java machine-learning artificial-intelligence svm mahoutAs you may know, many things changed in OpenCV 3 (in comparision to the openCV2 or the old first version). In …
c++ opencv machine-learning svm opencv3.0I am using sklearn to apply svm on my own set of images. The images are put in a data …
python numpy multidimensional-array svm sklearn-pandasI know that Cross validation is used for selecting good parameters. After finding them, i need to re-train the whole …
matlab machine-learning classification svm libsvmI used svm to find a hyperplane best fit regression dependent on q, where I have 4 dimensions: x, y, z, …
r svmDo you know of any good c++ svm libraries out there I tried libsvm http://www.csie.ntu.edu.tw/~…
c++ machine-learning classification svm libsvmI want to perform multi-class classification using the svm function of e1071 package. But from what I came to know …
r classification svm libsvmI am running into the problem that the hyperparameters of my svm.SVC() are too wide such that the GridSearchCV() …
machine-learning scikit-learn svm hyperparametersIn R, what is the functionality of probability=TRUE in the svm function of the e1071 package? model <- …
r svmFrom my research, I found three conflicting results: SVC(kernel="linear") is better LinearSVC is better Doesn't matter Can someone …
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