Privacy Preserving Support Vector Machines: A Simple Version

Suppose we have two entities P1 and P2 and P1 holds a training dataset and P2 holds a dataset . (Assume for simplicity that the x’s all have the same dimension and each y is a real number. We’ll deal with the case when P1 and P2 measure different sets of variables in a different … More Privacy Preserving Support Vector Machines: A Simple Version

Online Support Vector Machines

I have been studying and experimenting with online learning algorithms for support vector machines (SVMs) for a while now, primarily with the intention of understanding how they can be used to learn SVM models on large multi-terabyte datasets. The following technical report describes the NORMA and PEGASOS family of algorithms and give some observations and relevant … More Online Support Vector Machines