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https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47
Jun 07, 2018 · Support vector machine is another simple algorithm that every machine learning expert should have in his/her arsenal. Support vector machine is highly preferred by many as it produces significant accuracy with less computation power. Support Vector Machine, abbreviated as SVM can be used for both regression and classification tasks.Author: Rohith Gandhi
https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/tr-98-14.pdf
1.2 Previous Methods for Training Support Vector Machines Due to its immense size, the QP problem (11) that arises from SVMs cannot be easily solved via standard QP techniques. The quadratic form in (11) involves a matrix that has a number of elements equal to the square of the number of training examples. This matrix cannot be fit intoCited by: 3108
https://people.eecs.berkeley.edu/~malik/cs294/decoste-scholkopf.pdf
TRAINING INVARIANT SUPPORT VECTOR MACHINES 165 and the increase in training set size. If the size of a training set is multiplied by a number of desired invariances (by generating a corresponding number of artificial examples for each training pattern), the resulting training sets can get rather large (as the ones used by
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