Support vector machines (SVMs) are a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
libsvm and liblinear are both software libraries that implement Support Vector Machines. What's the difference? And how do the differences …
algorithm machine-learning svm libsvmWhich is the actual computational complexity of the learning phase of SVM (let's say, that implemented in LibSVM)? Thank you
time-complexity svm libsvmI'm using libsvm in C-SVC mode with a polynomial kernel of degree 2 and I'm required to train multiple SVMs. During …
machine-learning svm libsvmI have a few sets of questions regarding outlier detection: Can we find outliers using k-means and is this a …
data-mining svm outliersI'm new to SVMs in Matlab and need a little bit of help with it. I want to train a …
matlab machine-learning svmI am having problem with implementing LibSVM to MATLAB. I am using MATLAB R2009a (I also have the latest …
svm matlab libsvmI'm trying to find the parameters for my SVM, which give me the best AUC. But i can't find any …
python scikit-learn svm grid-searchUsing SVM with sklearn library, I would like to plot the data with each labels representing its color. I don't …
python plot scikit-learn svm svcI know SVMs are supposedly 'ANN killers' in that they automatically select representation complexity and find a global optimum (see …
machine-learning neural-network svm reinforcement-learningI'm trying to apply feature selection (e.g. recursive feature selection) in SVM, using the R package. I've installed Weka …
r machine-learning weka svm feature-selection