why do support vectors have different alpha why are duplicate examples used in svmlight why do duplicate support vectors have different alpha values, even when they have identical feature vectors? how to use duplicate support vector in sentence classifier with binary input why do support vectors have different lagrange term can a training instance have a different support vector why do duplicate training instances have different alpha and feature vectors svmlight model example what is a single support vector in a sentence classifier used for? how to classify svmlight in binary what is the example of one training instance in svmlight which svm model model contains multiple replicate training instances which svm model is a duplicate what is svmlight classifying why does an instance contain multiple support vectors what is the definition of duplicate svm model what is the function of pagrange multipliers which feature vector has the same alpha value as a training instance which feature is duplicated in the training example above? what is svmlight training instance